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Content
April 2024, Volume 39, Issue 2
- 1023-1060 Inference and expected total test time for step-stress life test in the presence of complementary risks and incomplete data
by Yajie Tian & Wenhao Gui
February 2024, Volume 39, Issue 1
- 1-2 High-dimensional data analysis and visualisation
by Cathy W. S. Chen & Rosaria Lombardo & Enrico Ripamonti - 3-19 Explainable Ensemble Trees
by Massimo Aria & Agostino Gnasso & Carmela Iorio & Giuseppe Pandolfo - 21-50 A model-based ultrametric composite indicator for studying waste management in Italian municipalities
by Carlo Cavicchia & Pasquale Sarnacchiaro & Maurizio Vichi & Giorgia Zaccaria - 51-92 Multiway clustering with time-varying parameters
by Roy Cerqueti & Raffaele Mattera & Germana Scepi - 93-116 The higher-order PLS-SEM confirmatory approach for composite indicators of football performance quality
by Mattia Cefis & Maurizio Carpita - 117-140 Testing heterogeneity in quantile regression: a multigroup approach
by Cristina Davino & Giuseppe Lamberti & Domenico Vistocco - 141-157 Evaluating countries’ performances by means of rank trajectories: functional measures of magnitude and evolution
by Francesca Fortuna & Alessia Naccarato & Silvia Terzi - 159-159 Correction to: Evaluating countries’ performances by means of rank trajectories: functional measures of magnitude and evolution
by Francesca Fortuna & Alessia Naccarato & Silvia Terzi - 161-179 A hybrid approach for the analysis of complex categorical data structures: assessment of latent distance learning perception in higher education
by Maria Iannario & Alfonso Iodice D’Enza & Rosaria Romano - 181-213 Bootstrapping binary GEV regressions for imbalanced datasets
by Michele Rocca & Marcella Niglio & Marialuisa Restaino - 215-215 Correction to: Bootstrapping binary GEV regressions for imbalanced datasets
by Michele La Rocca & Marcella Niglio & Marialuisa Restaino - 217-237 Missing values and data enrichment: an application to social media liking
by Paolo Mariani & Andrea Marletta & Matteo Locci - 239-270 Combining unsupervised and supervised learning techniques for enhancing the performance of functional data classifiers
by Fabrizio Maturo & Rosanna Verde - 271-288 A robust knockoff filter for sparse regression analysis of microbiome compositional data
by Gianna Serafina Monti & Peter Filzmoser - 289-311 Topic based quality indexes assessment through sentiment
by Marco Ortu & Luca Frigau & Giulia Contu - 313-342 Learning from high dimensional data based on weighted feature importance in decision tree ensembles
by Nayiri Galestian Pour & Soudabeh Shemehsavar - 343-362 On four-way CP model estimation efficiency
by Violetta Simonacci & Michele Gallo - 363-383 Fair evaluation of classifier predictive performance based on binary confusion matrix
by Amalia Vanacore & Maria Sole Pellegrino & Armando Ciardiello
December 2023, Volume 38, Issue 4
- 1621-1627 The 2019 data challenge expo of the American Statistical Association
by Daniel Goldstein & Elyzabeth Gaumer & Wendy Martinez - 1629-1641 House quality index construction and rent prediction in New York City with interactive visualization and product design
by Xiang Shen & Shunyan Luo & Mingze Zhang - 1643-1656 An analysis of the impact of rent control on New York City housing
by Benjamin W. Schweitzer & Robert C. Garrett & Lydia Carter & Alison Tuiyott & Karsten Maurer & Thomas J. Fisher - 1657-1668 Immigrant residency and happiness in New York City
by Alison Tuiyott & Robert C. Garrett & Lydia Carter & Benjamin Schweitzer & Karsten Maurer & Thomas J. Fisher - 1669-1685 A statistical framework for analyzing housing quality: a case study of New York City
by Damien Chambon & Jacob Gerszten - 1687-1717 Housing variables and immigration: an exploratory analysis in New York City
by Jhonatan Medri & Braden D. Probst & Jürgen Symanzik - 1719-1719 Correction: Housing variables and immigration: an exploratory analysis in New York City
by Jhonatan Medri & Braden D. Probst & Jürgen Symanzik - 1721-1734 An exact sampler for fully Baysian elastic net
by Hai-Bin Wang & Jian Wang - 1735-1769 Joint Bayesian longitudinal models for mixed outcome types and associated model selection techniques
by Nicholas Seedorff & Grant Brown & Breanna Scorza & Christine A. Petersen - 1771-1790 Bayesian variable selection using Knockoffs with applications to genomics
by Jurel K. Yap & Iris Ivy M. Gauran - 1791-1810 Bayesian multilevel logistic regression models: a case study applied to the results of two questionnaires administered to university students
by Cristian David Correa-Álvarez & Juan Carlos Salazar-Uribe & Luis Raúl Pericchi-Guerra - 1811-1849 Solving linear Bayesian inverse problems using a fractional total variation-Gaussian (FTG) prior and transport map
by Zejun Sun & Guang-Hui Zheng - 1851-1877 The computing of the Poisson multinomial distribution and applications in ecological inference and machine learning
by Zhengzhi Lin & Yueyao Wang & Yili Hong - 1879-1925 Probabilistic learning constrained by realizations using a weak formulation of Fourier transform of probability measures
by Christian Soize - 1927-1946 An evolutionary estimation procedure for generalized semilinear regression trees
by Giulia Vannucci & Anna Gottard - 1947-1976 Deep support vector quantile regression with non-crossing constraints
by Wooyoung Shin & Yoonsuh Jung - 1977-1994 Fitting sparse Markov models through a collapsed Gibbs sampler
by Iris Bennett & Donald E. K. Martin & Soumendra Nath Lahiri - 1995-2013 On the fast computation of the Dirichlet-multinomial log-likelihood function
by Alessandro Languasco & Mauro Migliardi - 2015-2051 Variational Bayes estimation of hierarchical Dirichlet-multinomial mixtures for text clustering
by Massimo Bilancia & Michele Nanni & Fabio Manca & Gianvito Pio - 2053-2074 Sparse Bayesian learning with automatic-weighting Laplace priors for sparse signal recovery
by Zonglong Bai & Jinwei Sun - 2075-2096 A flexible two-piece normal dynamic linear model
by Emanuele Aliverti & Reinaldo B. Arellano-Valle & Fereshteh Kahrari & Bruno Scarpa - 2097-2119 Target-aware Bayesian inference via generalized thermodynamic integration
by F. Llorente & L. Martino & D. Delgado
September 2023, Volume 38, Issue 3
- 1117-1122 The 2018 data challenge expo of the American statistical association
by Mine Cetinkaya-Rundel & Wendy Martinez - 1123-1134 Accuracy of precipitation forecasts: finding the right threshold for what is considered rain
by Darren Keeley & Eric A. Suess - 1135-1155 Let’s talk about the weather: a cluster-based approach to weather forecast accuracy
by Jill F. Lundell & Brennan Bean & Jürgen Symanzik - 1157-1171 A spatial extension of weather forecasts
by Benjamin Schweitzer & Robert C. Garrett & Nichole Rook & Thomas J. Fisher - 1173-1191 An exploration of National Weather Service daily forecasts using R Shiny
by Dooti Roy & Gregory Vaughan & Jianan Hui & Junxian Geng - 1193-1213 Unsupervised learning on U.S. weather forecast performance
by Chuyuan Lin & Ying Yu & Lucas Y. Wu & Jiguo Cao - 1215-1229 Spatial correlation in weather forecast accuracy: a functional time series approach
by Phillip A. Jang & David S. Matteson - 1231-1253 Geometric goodness of fit measure to detect patterns in data point clouds
by Alberto J. Hernández & Maikol Solís - 1255-1282 Community detection for New York stock market by SCORE-CCD
by Yanan Yan & Yuehan Yang - 1283-1335 hhsmm: an R package for hidden hybrid Markov/semi-Markov models
by Morteza Amini & Afarin Bayat & Reza Salehian - 1337-1355 Sparse precision matrix estimation with missing observations
by Ning Zhang & Jin Yang - 1357-1389 On the estimation of partially observed continuous-time Markov chains
by Alan Riva-Palacio & Ramsés H. Mena & Stephen G. Walker - 1391-1424 Tempered expectation-maximization algorithm for the estimation of discrete latent variable models
by Luca Brusa & Francesco Bartolucci & Fulvia Pennoni - 1425-1425 Correction to: Tempered expectation-maximization algorithm for the estimation of discrete latent variable models
by Luca Brusa & Francesco Bartolucci & Fulvia Pennoni - 1427-1461 Polynomial whitening for high-dimensional data
by Jonathan Gillard & Emily O’Riordan & Anatoly Zhigljavsky - 1463-1485 Two-parameter link functions, with applications to negative binomial, Weibull and quantile regression
by V. F. Miranda-Soberanis & Thomas W. Yee - 1487-1506 Clustering directional data through depth functions
by Giuseppe Pandolfo & Antonio D’ambrosio - 1507-1535 Depth-based reconstruction method for incomplete functional data
by Antonio Elías & Raúl Jiménez & Han Lin Shang - 1537-1553 Comparing the diagnostic performance of methods used in a full-factorial design multi-reader multi-case studies
by Merve Basol & Dincer Goksuluk & Ergun Karaagaoglu - 1555-1578 Pretest and shrinkage estimators for log-normal means
by Mahmoud Aldeni & John Wagaman & Mohamed Amezziane & S. Ejaz Ahmed - 1579-1595 Quicksort leave-pair-out cross-validation for ROC curve analysis
by Riikka Numminen & Ileana Montoya Perez & Ivan Jambor & Tapio Pahikkala & Antti Airola - 1597-1619 Parameter-wise co-clustering for high-dimensional data
by M. P. B. Gallaugher & C. Biernacki & P. D. McNicholas
June 2023, Volume 38, Issue 2
- 531-568 Approximate Bayesian computation using asymptotically normal point estimates
by George Karabatsos - 569-601 Fast Bayesian Inference for Birnbaum-Saunders Distribution
by Mahdi Teimouri - 603-621 Bayesian spatial quantile modeling applied to the incidence of extreme poverty in Lima–Peru
by Carlos García & Zaida Quiroz & Marcos Prates - 623-645 Bayesian flexible beta regression model with functional covariate
by Agnese Maria Di Brisco & Enea Giuseppe Bongiorno & Aldo Goia & Sonia Migliorati - 647-674 Pseudo-document simulation for comparing LDA, GSDMM and GPM topic models on short and sparse text using Twitter data
by Christoph Weisser & Christoph Gerloff & Anton Thielmann & Andre Python & Arik Reuter & Thomas Kneib & Benjamin Säfken - 675-710 Bayesian estimation versus maximum likelihood estimation in the Weibull-power law process
by Alicja Jokiel-Rokita & Ryszard Magiera - 711-748 Bayesian estimation and classification for two logistic populations with a common location
by Pushkal Kumar & Manas Ranjan Tripathy & Somesh Kumar - 749-777 A synthetic likelihood approach for intractable markov random fields
by Wanchuang Zhu & Yanan Fan - 779-808 Model averaging for sparse seemingly unrelated regression using Bayesian networks among the errors
by Abdul Salam & Marco Grzegorczyk - 809-826 Variable selection for categorical response: a comparative study
by Sweata Sen & Damitri Kundu & Kiranmoy Das - 827-843 An efficient adaptive MCMC algorithm for Pseudo-Bayesian quantum tomography
by The Tien Mai - 845-869 Bayesian analysis of spherically parameterized dynamic multivariate stochastic volatility models
by Guanyu Hu & Ming-Hui Chen & Nalini Ravishanker - 871-898 A global two-stage algorithm for non-convex penalized high-dimensional linear regression problems
by Peili Li & Min Liu & Zhou Yu - 899-934 Estimation of logistic regression with covariates missing separately or simultaneously via multiple imputation methods
by Shen-Ming Lee & Truong-Nhat Le & Phuoc-Loc Tran & Chin-Shang Li - 935-954 A linear spline Cox cure model with its applications
by Yu Liu & Chin-Shang Li - 955-977 Multivariate mixed Poisson Generalized Inverse Gaussian INAR(1) regression
by Zezhun Chen & Angelos Dassios & George Tzougas - 979-1000 A semi-parametric approach to feature selection in high-dimensional linear regression models
by Yuyang Liu & Pengfei Pi & Shan Luo - 1001-1022 Smoothed quantile regression for censored residual life
by Kyu Hyun Kim & Daniel J. Caplan & Sangwook Kang - 1023-1040 Extended mean-conditional value-at-risk portfolio optimization with PADM and conditional scenario reduction technique
by Tahereh Khodamoradi & Maziar Salahi - 1041-1055 Influence function-based confidence intervals for the Kendall rank correlation coefficient
by Zhonglu Huang & Gengsheng Qin - 1057-1093 Doubly time-dependent Hawkes process and applications in failure sequence analysis
by Lu-ning Zhang & Jian-wei Liu & Xin Zuo - 1095-1116 Sparse online principal component analysis for parameter estimation in factor model
by Guangbao Guo & Chunjie Wei & Guoqi Qian
March 2023, Volume 38, Issue 1
- 1-23 Controlling the familywise error rate when performing multiple comparisons in a linear latent variable model
by Brice Ozenne & Esben Budtz-Jørgensen & Sebastian Elgaard Ebert - 25-51 The fuzzy cluster analysis for interval value using genetic algorithm and its application in image recognition
by Dinh Phamtoan & Tai Vovan - 53-75 Sparse reduced-rank regression for simultaneous rank and variable selection via manifold optimization
by Kohei Yoshikawa & Shuichi Kawano - 77-78 Correction: Sparse reduced-rank regression for simultaneous rank and variable selection via manifold optimization
by Kohei Yoshikawa & Shuichi Kawano - 79-99 Estimation of spatial-functional based-line logit model for multivariate longitudinal data
by Tengteng Xu & Riquan Zhang & Xiuzhen Zhang - 101-132 Permutation testing for thick data when the number of variables is much greater than the sample size: recent developments and some recommendations
by Patrick B. Langthaler & Riccardo Ceccato & Luigi Salmaso & Rosa Arboretti & Arne C. Bathke - 133-147 Efficient computation of tight approximations to Chernoff bounds
by Daniel Shiu - 149-169 Semi-supervised adapted HMMs for P2P credit scoring systems with reject inference
by Monir El Annas & Badreddine Benyacoub & Mohamed Ouzineb - 171-189 Simplified partially observed quasi-information matrix
by Thuan Nguyen & Jiming Jiang - 191-216 Adaptive smoothing spline estimator for the function-on-function linear regression model
by Fabio Centofanti & Antonio Lepore & Alessandra Menafoglio & Biagio Palumbo & Simone Vantini - 217-242 An efficient GPU-parallel coordinate descent algorithm for sparse precision matrix estimation via scaled lasso
by Seunghwan Lee & Sang Cheol Kim & Donghyeon Yu - 243-262 Speeding up the convergence of the alternating least squares algorithm using vector $$\varepsilon $$ ε acceleration and restarting for nonlinear principal component analysis
by Masahiro Kuroda & Yuichi Mori & Masaya Iizuka - 263-283 Kernel regression for cause-specific hazard models with time-dependent coefficients
by Xiaomeng Qi & Zhangsheng Yu - 285-298 Model selection using PRESS statistic
by Ida Marie Alcantara & Joshua Naranjo & Yanda Lang - 299-326 A robust threshold t linear mixed model for subgroup identification using multivariate T distributions
by Rui Zhang & Guoyou Qin & Dongsheng Tu - 327-347 Adjusting the adjusted Rand Index
by Martina Sundqvist & Julien Chiquet & Guillem Rigaill - 349-371 Using reference models in variable selection
by Federico Pavone & Juho Piironen & Paul-Christian Bürkner & Aki Vehtari - 373-401 Predictors with measurement error in mixtures of polynomial regressions
by Xiaoqiong Fang & Andy W. Chen & Derek S. Young - 403-418 A survival regression with cure fraction applied to cervical cancer
by Vicente G. Cancho & Elizbeth C. Bedia & Gauss M. Cordeiro & Fábio Prataviera & Edwin M. M. Ortega & Ana P. J. E. Santo - 419-459 Supervised classification of curves via a combined use of functional data analysis and tree-based methods
by Fabrizio Maturo & Rosanna Verde - 461-480 Labeled optimal partitioning
by Toby Dylan Hocking & Anuraag Srivastava - 481-508 Analysis of progressive type-II censored gamma distribution
by Sanku Dey & Ahmed Elshahhat & Mazen Nassar - 509-529 Model aggregation for doubly divided data with large size and large dimension
by Baihua He & Yanyan Liu & Guosheng Yin & Yuanshan Wu
November 2022, Volume 37, Issue 5
- 2087-2094 The 2017 Data Challenge of the American Statistical Association
by Thesia I. Garner & Wendy Martinez - 2095-2127 Household energy expenditure and consumption patterns in the United States
by Joyance Meechai & Manel Wijesinha - 2129-2160 Multivariate understanding of income and expenditure in United States households with statistical learning
by Mingzhao Hu - 2161-2184 Nomclust 2.0: an R package for hierarchical clustering of objects characterized by nominal variables
by Zdenek Sulc & Jana Cibulkova & Hana Rezankova - 2185-2201 A note on imputing squares via polynomial combination approach
by Mingyang Cai & Gerko Vink - 2203-2229 Oblique decision tree induction by cross-entropy optimization based on the von Mises–Fisher distribution
by Ferdinand Bollwein & Stephan Westphal - 2231-2247 Tuning selection for two-scale kernel density estimators
by Xinyang Yu & Cheng Wang & Zhongqing Yang & Binyan Jiang - 2249-2265 On goodness-of-fit testing for Burr type X distribution under progressively type-II censoring
by Reza Pakyari & Ayman Baklizi - 2267-2293 Improved confidence intervals based on ranked set sampling designs within a parametric bootstrap approach
by Cesar Augusto Taconeli & Idemauro Antonio Rodrigues Lara - 2295-2332 Adaptive step-length selection in gradient boosting for Gaussian location and scale models
by Boyao Zhang & Tobias Hepp & Sonja Greven & Elisabeth Bergherr - 2333-2362 Estimation of distribution function using L ranked set sampling and robust extreme ranked set sampling with application to reliability
by Mohamed S. Abdallah & Amer I. Al-Omari & Naif Alotaibi & Ghadah A. Alomani & A. S. Al-Moisheer - 2363-2397 Ensemble updating of categorical state vectors
by Margrethe Kvale Loe & Håkon Tjelmeland - 2399-2436 Inference for copula-based dependent competing risks model with step-stress accelerated life test under generalized progressive hybrid censoring
by Rui Hua & Wenhao Gui - 2437-2470 Overcoming convergence problems in PLS path modelling
by Mohamed Hanafi & Zouhair El Hadri & Abderrahim Sahli & Pasquale Dolce - 2471-2491 Optimal control for parameter estimation in partially observed hypoelliptic stochastic differential equations
by Quentin Clairon & Adeline Samson - 2493-2515 A variational inference for the Lévy adaptive regression with multiple kernels
by Youngseon Lee & Seongil Jo & Jaeyong Lee - 2517-2551 Fast simulation of tempered stable Ornstein–Uhlenbeck processes
by Piergiacomo Sabino & Nicola Cufaro Petroni - 2553-2580 Two sample tests for Semi-Markov processes with parametric sojourn time distributions: an application in sensory analysis
by Cindy Frascolla & Guillaume Lecuelle & Pascal Schlich & Hervé Cardot - 2581-2636 Non-parametric seasonal unit root tests under periodic non-stationary volatility
by Kemal Çag̃lar Gög̃ebakan & Burak Alparslan Eroglu - 2637-2670 Interaction screening via canonical correlation
by Jun Lu & Dan Wang & Qinqin Hu - 2671-2692 Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features
by Florian Pargent & Florian Pfisterer & Janek Thomas & Bernd Bischl - 2693-2715 Robust sparse Bayesian infinite factor models
by Jaejoon Lee & Seongil Jo & Jaeyong Lee - 2717-2739 Uniform design with prior information of factors under weighted wrap-around $$L_2$$ L 2 -discrepancy
by Biao Luo & Hongyi Li & Yingying Wei & Zujun Ou - 2741-2769 Bayesian ridge estimators based on copula-based joint prior distributions for regression coefficients
by Hirofumi Michimae & Takeshi Emura
September 2022, Volume 37, Issue 4
- 1551-1568 Modified minimum distance estimators: definition, properties and applications
by Talha Arslan & Sukru Acitas & Birdal Senoglu - 1569-1597 Accelerated failure time models for recurrent event data analysis and joint modeling
by Shahedul A. Khan & Nyla Basharat - 1599-1619 Statistical modeling of directional data using a robust hierarchical von mises distribution model: perspectives for wind energy
by Said Benlakhdar & Mohammed Rziza & Rachid Oulad Haj Thami - 1621-1651 Penalized wavelet estimation and robust denoising for irregular spaced data
by Umberto Amato & Anestis Antoniadis & Italia Feis & Irène Gijbels - 1653-1693 Markovchart: an R package for cost-optimal patient monitoring and treatment using control charts
by Balázs Dobi & András Zempléni - 1695-1726 Gumbel’s bivariate exponential distribution: estimation of the association parameter using ranked set sampling
by Yusuf Can Sevil & Tugba Ozkal Yildiz - 1727-1750 Estimation and inferences for varying coefficient partially nonlinear quantile models with censoring indicators missing at random
by Xiaoshuang Zhou & Peixin Zhao - 1751-1770 New classes of tests for the Weibull distribution using Stein’s method in the presence of random right censoring
by E. Bothma & J. S. Allison & I. J. H. Visagie - 1771-1794 The truncated g-and-h distribution: estimation and application to loss modeling
by Marco Bee - 1795-1837 Reliability inference for multicomponent stress–strength model from Kumaraswamy-G family of distributions based on progressively first failure censored samples
by Shubham Saini & Renu Garg - 1839-1854 Models under which random forests perform badly; consequences for applications
by José A. Ferreira - 1855-1885 RMSE-minimizing confidence intervals for the binomial parameter
by Kexin Feng & Lawrence M. Leemis & Heather Sasinowska - 1887-1918 Unified mean-variance feature screening for ultrahigh-dimensional regression
by Liming Wang & Xingxiang Li & Xiaoqing Wang & Peng Lai - 1919-1941 A computationally efficient approach to estimating species richness and rarefaction curve
by Seungchul Baek & Junyong Park - 1943-1962 Hybrid MLP-IDW approach based on nearest neighbor for spatial prediction
by A. Tavassoli & Y. Waghei & A. Nazemi - 1963-1983 A new non-archimedean metric on persistent homology
by İsmail Güzel & Atabey Kaygun - 1985-2001 Shapiro-Wilk test for multivariate skew-normality
by Elizabeth González-Estrada & José A. Villaseñor & Rocío Acosta-Pech - 2003-2028 Bivariate elliptical regression for modeling interval-valued data
by Wagner J. F. Silva & Renata M. C. R. Souza & F. J. A. Cysneiros - 2029-2047 Flexible, non-parametric modeling using regularized neural networks
by Oskar Allerbo & Rebecka Jörnsten - 2049-2086 Prediction of times to failure of censored units under generalized progressive hybrid censoring scheme
by J. Ahmadi & B. Khatib Astaneh & M. Rezaie & S. Ameli
July 2022, Volume 37, Issue 3
- 995-1013 Hierarchical correction of p-values via an ultrametric tree running Ornstein-Uhlenbeck process
by Antoine Bichat & Christophe Ambroise & Mahendra Mariadassou - 1015-1039 Kolmogorov–Smirnov simultaneous confidence bands for time series distribution function
by Jie Li & Jiangyan Wang & Lijian Yang - 1041-1068 Laplace regression with clustered censored data
by Akram Yazdani & Hojjat Zeraati & Mehdi Yaseri & Shahpar Haghighat & Ahmad Kaviani - 1069-1109 The modified maximum likelihood estimators for the parameters of the regression model under bivariate median ranked set sampling
by Hakan Savaş Sazak & Melis Zeybek - 1111-1141 Covariance matrix testing in high dimension using random projections
by Deepak Nag Ayyala & Santu Ghosh & Daniel F. Linder - 1143-1164 Statistical inference in massive datasets by empirical likelihood
by Xuejun Ma & Shaochen Wang & Wang Zhou - 1165-1183 On community structure validation in real networks
by Mirko Signorelli & Luisa Cutillo - 1185-1201 A new estimation for INAR(1) process with Poisson distribution
by Feilong Lu & Dehui Wang - 1203-1228 Dynamic sampling from a discrete probability distribution with a known distribution of rates
by Federico D’Ambrosio & Hans L. Bodlaender & Gerard T. Barkema - 1229-1254 Smallest covering regions and highest density regions for discrete distributions
by Ben O’Neill - 1255-1286 Characterizations and generalizations of the negative binomial distribution
by Katiane S. Conceição & Marinho G. Andrade & Francisco Louzada & Nalini Ravishanker - 1287-1310 Objective Bayesian group variable selection for linear model
by Sang Gil Kang & Woo Dong Lee & Yongku Kim - 1311-1338 A Bayesian approach to the analysis of asymmetric association for two-way contingency tables
by Zheng Wei & Daeyoung Kim & Erin M. Conlon - 1339-1368 Bayesian variable selection and estimation in quantile regression using a quantile-specific prior
by Mai Dao & Min Wang & Souparno Ghosh & Keying Ye - 1369-1397 New approximate Bayesian computation algorithm for censored data
by Kristin McCullough & Tatiana Dmitrieva & Nader Ebrahimi - 1399-1433 Bayesian analysis of mixture autoregressive models covering the complete parameter space
by Davide Ravagli & Georgi N. Boshnakov - 1435-1459 Hierarchical and multivariate regression models to fit correlated asymmetric positive continuous outcomes
by Lizandra C. Fabio & Francisco J. A. Cysneiros & Gilberto A. Paula & Jalmar M. F. Carrasco - 1461-1494 Applying the rescaling bootstrap under imputation for a multistage sampling design
by Christian Bruch - 1495-1522 Robust estimation of the number of factors for the pair-elliptical factor models
by Shuquan Yang & Nengxiang Ling & Yulin Gong - 1523-1550 A sequential test and a sequential sampling plan based on the process capability index Cpmk
by Michele Scagliarini
April 2022, Volume 37, Issue 2
- 551-563 Consistent second-order discrete kernel smoothing using dispersed Conway–Maxwell–Poisson kernels
by Alan Huang & Lucas Sippel & Thomas Fung - 565-590 Automatic estimation of spatial spectra via smoothing splines
by Shibin Zhang - 591-611 Stochastic functional linear models and Malliavin calculus
by Ruzong Fan & Hong-Bin Fang - 613-649 Computing highest density regions for continuous univariate distributions with known probability functions
by Ben O’Neill - 651-670 Computational advances for spatio-temporal multivariate environmental models
by Claudia Cappello & Sandra De Iaco & Monica Palma - 671-699 Graphical tests of independence for general distributions
by Jiří Dvořák & Tomáš Mrkvička - 701-720 A fast regression via SVD and marginalization
by Philip Greengard & Andrew Gelman & Aki Vehtari - 721-737 An improved exact sampling algorithm for the standard normal distribution
by Yusong Du & Baoying Fan & Baodian Wei - 739-750 Permutation tests for mixed paired and two-sample designs
by E. N. Johnson & S. J. Richter - 751-780 Methods for checking the Markov condition in multi-state survival data
by Gustavo Soutinho & Luís Meira-Machado - 781-815 Modelling the association in bivariate survival data by using a Bernstein copula
by Mirza Nazmul Hasan & Roel Braekers - 817-835 A Hard EM algorithm for prediction of the cured fraction in survival data
by Nemanja Kosovalić & Sandip Barui - 837-863 A semi-parametric Bayesian dynamic hurdle model with an application to the health and retirement study
by Kiranmoy Das & Bhuvanesh Pareek & Sarah Brown & Pulak Ghosh - 865-885 Multimodal information gain in Bayesian design of experiments
by Quan Long - 887-907 Bayesian inference for fractional Oscillating Brownian motion
by Héctor Araya & Meryem Slaoui & Soledad Torres - 909-946 Limitations and performance of three approaches to Bayesian inference for Gaussian copula regression models of discrete data
by L. L. Henn - 947-974 Bayesian tests of symmetry for the generalized Von Mises distribution
by Sara Salvador & Riccardo Gatto - 975-994 Efficient particle smoothing for Bayesian inference in dynamic survival models
by Parfait Munezero
March 2022, Volume 37, Issue 1
- 1-27 Linear hypothesis testing in high-dimensional one-way MANOVA: a new normal reference approach
by Tianming Zhu & Jin-Ting Zhang - 29-42 Nonparametric estimation for competing risks survival data subject to left truncation and interval censoring
by Pao-sheng Shen - 43-56 A new approach in model selection for ordinal target variables
by Elena Ballante & Silvia Figini & Pierpaolo Uberti - 57-89 Distributed identification of heterogeneous treatment effects
by Shuang Zhang & Xingdong Feng - 91-105 Reduced multidimensional scaling
by Emmanuel Paradis - 107-124 An algorithm of generating random number by wavelet denoising method and its application
by Zhou Xiaohui & Gu Guiding - 125-158 Efficient recursive computational algorithms for multivariate t and multivariate unified skew-t distributions with applications to inference
by Mehdi Amiri & Yaser Mehrali & Narayanaswamy Balakrishnan & Ahad Jamalizadeh - 159-227 A new double-regularized regression using Liu and lasso regularization
by Murat Genç