Printed from https://ideas.repec.org/s/spr/compst4.html
Content
June 2020, Volume 35, Issue 2
- 755-773 Multiple linear regression models for random intervals: a set arithmetic approach
by Marta García-Bárzana & Ana Belén Ramos-Guajardo & Ana Colubi & Erricos J. Kontoghiorghes - 775-801 Ascent with quadratic assistance for the construction of exact experimental designs
by Lenka Filová & Radoslav Harman - 803-819 Near G-optimal Tchakaloff designs
by Len Bos & Federico Piazzon & Marco Vianello - 821-836 An algorithm for finding efficient test-control block designs with correlated observations
by Saeid Pooladsaz & Mahboobeh Doosti-Irani - 837-869 Random sampling of contingency tables via probabilistic divide-and-conquer
by Stephen DeSalvo & James Zhao - 871-891 Computing expectations and marginal likelihoods for permutations
by Ben Powell & Paul A. Smith
March 2020, Volume 35, Issue 1
- 1-40 Hierarchical inference for genome-wide association studies: a view on methodology with software
by Claude Renaux & Laura Buzdugan & Markus Kalisch & Peter Bühlmann - 41-45 Comments on: Hierarchical inference for genome-wide association studies by Jelle J. Goeman and Stefan Böhringer
by Jelle J. Goeman & Stefan Böhringer - 47-49 Comments on: Hierarchical inference for genome-wide association studies: a view on methodology with software by F. Frommlet and M. G. Schimek
by Florian Frommlet & Michael G. Schimek - 51-55 Comments on: Hierarchical inference for genome-wide association studies: a view on methodology with software
by Ruth Heller - 57-58 Comments on: Hierarchical Inference for genome-wide association studies: a view on methodology with software by Paulo C. Rodrigues and Vanda M. Lourenço
by Paulo C. Rodrigues & Vanda M. Lourenço - 59-67 Rejoinder on: Hierarchical inference for genome-wide association studies: a view on methodology with software
by Claude Renaux & Laura Buzdugan & Markus Kalisch & Peter Bühlmann - 69-94 Spectral clustering-based community detection using graph distance and node attributes
by Fengqin Tang & Chunning Wang & Jinxia Su & Yuanyuan Wang - 95-109 A fast iterative algorithm for high-dimensional differential network
by Zhou Tang & Zhangsheng Yu & Cheng Wang - 111-133 Adaptive method for indirect identification of the statistical properties of random fields in a Bayesian framework
by Guillaume Perrin & Christian Soize - 135-152 Interpolation of daily rainfall data using censored Bayesian spatially varying model
by K. Shuvo Bakar - 153-173 A scalable Bayesian nonparametric model for large spatio-temporal data
by Zahra Barzegar & Firoozeh Rivaz - 175-201 DOLDA: a regularized supervised topic model for high-dimensional multi-class regression
by Måns Magnusson & Leif Jonsson & Mattias Villani - 203-226 Computing the halfspace depth with multiple try algorithm and simulated annealing algorithm
by Wei Shao & Yijun Zuo - 227-243 Bayesian variable selection for mixed effects model with shrinkage prior
by Mingan Yang & Min Wang & Guanghui Dong - 245-258 Sparse Bayesian variable selection in kernel probit model for analyzing high-dimensional data
by Aijun Yang & Yuzhu Tian & Yunxian Li & Jinguan Lin - 259-279 The unit-improved second-degree Lindley distribution: inference and regression modeling
by Emrah Altun & Gauss M. Cordeiro - 281-308 The odd log-logistic Lindley-G family of distributions: properties, Bayesian and non-Bayesian estimation with applications
by Morad Alizadeh & Ahmed Z. Afify & M. S. Eliwa & Sajid Ali - 309-326 Optimal confidence regions for the two-parameter exponential distribution based on records
by A. Asgharzadeh & S. F. Bagheri & N. A. Ibrahim & M. R. Abubakar - 327-342 Density and distribution evaluation for convolution of independent gamma variables
by Chaoran Hu & Vladimir Pozdnyakov & Jun Yan - 343-358 Efficient computation of the stochastic behavior of partial sum processes
by Sorawit Saengkyongam & Anthony Hayter & Seksan Kiatsupaibul & Wei Liu - 359-378 Some properties of double truncated distributions and their application in view of income inequality
by Zahra Behdani & Gholam Reza Mohtashami Borzadaran & Bahram Sadeghpour Gildeh - 379-398 On a heavy-tailed parametric quantile regression model for limited range response variables
by Artur J. Lemonte & Germán Moreno-Arenas - 399-421 Adjusted quantile residual for generalized linear models
by Juliana Scudilio & Gustavo H. A. Pereira
December 2019, Volume 34, Issue 4
- 1443-1447 The 2013 Data Expo of the American Statistical Association
by Heike Hofmann & Hadley Wickham & Dianne Cook - 1449-1464 Putting down roots: a graphical exploration of community attachment
by Andee J. Kaplan & Eric R. Hare - 1465-1487 A tale of four cities: exploring the soul of State College, Detroit, Milledgeville and Biloxi
by Karsten Maurer & Dave Osthus & Adam Loy - 1489-1509 Consistency of survey opinions and external data
by Samuel Ackerman - 1511-1535 Community engagement and subgroup meta-knowledge: some factors in the soul of a community
by Amelia A. McNamara - 1537-1563 Clicks and cliques: exploring the soul of the community
by Natalia da Silva & Ignacio Alvarez-Castro - 1565-1589 Soul of the community: an attempt to assess attachment to a community
by Anna Quach & Jürgen Symanzik & Nicole Forsgren - 1591-1611 Drivers of community attachment: an interactive analysis
by Jessica M. Orth - 1613-1648 Classification tree algorithm for grouped variables
by A. Poterie & J.-F. Dupuy & V. Monbet & L. Rouvière - 1649-1674 Methods for estimating the optimal number and location of cut points in multivariate survival analysis: a statistical solution to the controversial effect of BMI
by Chung Chang & Meng-Ke Hsieh & An Jen Chiang & Yi-Hsuan Tsai & Chia-Chiung Liu & Jiabin Chen - 1675-1692 Semiparametric approaches for matched case–control studies with error-in-covariates
by Nels G. Johnson & Inyoung Kim - 1693-1710 Estimation of random-effects model for longitudinal data with nonignorable missingness using Gibbs sampling
by Prajamitra Bhuyan - 1711-1740 Weighted composite quantile regression for single index model with missing covariates at random
by Huilan Liu & Hu Yang & Changgen Peng - 1741-1764 Predicting missing values: a comparative study on non-parametric approaches for imputation
by Burim Ramosaj & Markus Pauly - 1765-1778 Bootstrap ICC estimators in analysis of small clustered binary data
by Bei Wang & Yi Zheng & Kyle M. Irimata & Jeffrey R. Wilson - 1779-1813 Investigation of parameter uncertainty in clustering using a Gaussian mixture model via jackknife, bootstrap and weighted likelihood bootstrap
by Adrian O’Hagan & Thomas Brendan Murphy & Luca Scrucca & Isobel Claire Gormley - 1815-1848 Model-based INAR bootstrap for forecasting INAR(p) models
by Luisa Bisaglia & Margherita Gerolimetto - 1849-1869 Bagging of density estimators
by Mathias Bourel & Jairo Cugliari - 1871-1887 Maximum likelihood method for bandwidth selection in kernel conditional density estimate
by Kateřina Konečná & Ivanka Horová - 1889-1909 Four algorithms to construct a sparse kriging kernel for dimensionality reduction
by Christophette Blanchet-Scalliet & Céline Helbert & Mélina Ribaud & Céline Vial
September 2019, Volume 34, Issue 3
- 943-944 Proceedings of Reisensburg 2016–2017
by Matthias Schmid & Bernd Bischl & Hans A. Kestler - 945-976 Time series anomaly detection based on shapelet learning
by Laura Beggel & Bernhard X. Kausler & Martin Schiegg & Michael Pfeiffer & Bernd Bischl - 977-991 OpenML: An R package to connect to the machine learning platform OpenML
by Giuseppe Casalicchio & Jakob Bossek & Michel Lang & Dominik Kirchhoff & Pascal Kerschke & Benjamin Hofner & Heidi Seibold & Joaquin Vanschoren & Bernd Bischl - 993-1014 Sparse kernel deep stacking networks
by Thomas Welchowski & Matthias Schmid - 1015-1038 Bayesian model-based clustering for longitudinal ordinal data
by Roy Costilla & Ivy Liu & Richard Arnold & Daniel Fernández - 1039-1053 Mixtures of multivariate restricted skew-normal factor analyzer models in a Bayesian framework
by Mohsen Maleki & Darren Wraith - 1055-1085 A skew-normal dynamic linear model and Bayesian forecasting
by Reinaldo B. Arellano-Valle & Javier E. Contreras-Reyes & Freddy O. López Quintero & Abel Valdebenito - 1087-1107 A note on parallel sampling in Markov graphs
by Verena Bauer & Karl Fürlinger & Göran Kauermann - 1109-1133 A multiple-try Metropolis–Hastings algorithm with tailored proposals
by Xin Luo & Håkon Tjelmeland - 1135-1157 Robust Bayesian seemingly unrelated regression model
by Chamberlain Mbah & Kris Peremans & Stefan Van Aelst & Dries F. Benoit - 1159-1182 Objective Bayesian tests for Fieller–Creasy problem
by Dal Ho Kim & Woo Dong Lee & Sang Gil Kang & Yongku Kim - 1183-1213 Periodic autoregressive models with closed skew-normal innovations
by T. Manouchehri & A. R. Nematollahi - 1215-1245 Two-sided exponential–geometric distribution: inference and volatility modeling
by Emrah Altun - 1247-1273 On the robustness of an epsilon skew extension for Burr III distribution on the real line
by Mehmet Niyazi Çankaya & Abdullah Yalçınkaya & Ömer Altındaǧ & Olcay Arslan - 1275-1313 Investigating GQL-based inferential approaches for non-stationary BINAR(1) model under different quantum of over-dispersion with application
by N. Mamode Khan & Y. Sunecher & V. Jowaheer & M. M. Ristic & M. Heenaye-Mamode Khan - 1315-1335 Robust estimation for spatial autoregressive processes based on bounded innovation propagation representations
by Grisel Maribel Britos & Silvia María Ojeda - 1337-1353 Recursive estimation of multivariate hidden Markov model parameters
by Jūratė Vaičiulytė & Leonidas Sakalauskas - 1355-1392 An enhanced genetic algorithm with new mutation for cluster analysis
by M. A. El-Shorbagy & A. Y. Ayoub & A. A. Mousa & I. M. El-Desoky - 1393-1426 Some new statistical methods for a class of zero-truncated discrete distributions with applications
by Guo-Liang Tian & Xiqian Ding & Yin Liu & Man-Lai Tang - 1427-1442 Probability of misclassification in model-based clustering
by Xuwen Zhu
June 2019, Volume 34, Issue 2
- 447-450 Editorial on the special issue on Functional Data Analysis and Related Topics
by Germán Aneiros & Ricardo Cao & Philippe Vieu - 451-468 Modeling functional data: a test procedure
by Enea G. Bongiorno & Aldo Goia & Philippe Vieu - 469-487 Variable selection in functional additive regression models
by Manuel Febrero-Bande & Wenceslao González-Manteiga & Manuel Oviedo de la Fuente - 489-502 Dynamic semi-parametric factor model for functional expectiles
by Petra Burdejová & Wolfgang K. Härdle - 503-525 Robust exponential squared loss-based estimation in semi-functional linear regression models
by Ping Yu & Zhongyi Zhu & Zhongzhan Zhang - 527-549 Functional data clustering via hypothesis testing k-means
by Adriano Zanin Zambom & Julian A. A. Collazos & Ronaldo Dias - 551-569 Clusters of effects curves in quantile regression models
by Gianluca Sottile & Giada Adelfio - 571-597 fdANOVA: an R software package for analysis of variance for univariate and multivariate functional data
by Tomasz Górecki & Łukasz Smaga - 599-615 High dimensional two-sample test based on the inter-point distance
by Shin-ichi Tsukada - 617-629 Benefits of functional PCA in the analysis of single-trial auditory evoked potentials
by Jan Koláček & Ondřej Pokora & Daniela Kuruczová & Tzai-Wen Chiu - 631-652 Clustering acoustic emission signals by mixing two stages dimension reduction and nonparametric approaches
by O. I. Traore & P. Cristini & N. Favretto-Cristini & L. Pantera & P. Vieu & S. Viguier-Pla - 653-682 Binary surrogates with stratified samples when weights are unknown
by Yu-Min Huang - 683-712 A first-order approximated jackknifed ridge estimator in binary logistic regression
by M. Revan Özkale & Engin Arıcan - 713-742 Structure learning of sparse directed acyclic graphs incorporating the scale-free property
by Xiao Guo & Hai Zhang & Yao Wang & Yong Liang - 743-761 Power comparison for propensity score methods
by Byeong Yeob Choi & Chen-Pin Wang & Joel Michalek & Jonathan Gelfond - 763-786 Classification trees with soft splits optimized for ranking
by Jakub Dvořák - 787-802 Median constrained bucket order rank aggregation
by Antonio D’Ambrosio & Carmela Iorio & Michele Staiano & Roberta Siciliano - 803-818 Package mTEXO for testing the presence of outliers in exponential samples
by Chien-Tai Lin & Ying-Chen Lee & Narayanaswamy Balakrishnan - 819-846 On the penalized maximum likelihood estimation of high-dimensional approximate factor model
by Shaoxin Wang & Hu Yang & Chaoli Yao - 847-863 A penalized simulated maximum likelihood method to estimate parameters for SDEs with measurement error
by Libo Sun & Chihoon Lee & Jennifer A. Hoeting - 865-883 Permutation based testing on covariance separability
by Seongoh Park & Johan Lim & Xinlei Wang & Sanghan Lee - 885-909 Weighted multiple testing procedure for grouped hypotheses with k-FWER control
by Li Wang - 911-941 Estimation of multivariate 3rd moment for high-dimensional data and its application for testing multivariate normality
by Takayuki Yamada & Tetsuto Himeno
March 2019, Volume 34, Issue 1
- 1-22 The performance of latent growth curve model-based structural equation model trees to uncover population heterogeneity in growth trajectories
by Satoshi Usami & Ross Jacobucci & Timothy Hayes - 23-46 Estimating reducible stochastic differential equations by conversion to a least-squares problem
by Oscar García - 47-70 SamP2CeT: an interactive computer program for sample size and power calculation for two-level cost-effectiveness trials
by Md Abu Manju & Math J. J. M. Candel & Gerard J. P. van Breukelen - 71-87 Pseudo-Bayesian D-optimal designs for longitudinal Poisson mixed models with correlated errors
by Hong-Yan Jiang & Rong-Xian Yue - 89-122 An iterative algorithm to bound partial moments
by Sander Muns - 123-152 Flexible regression modeling for censored data based on mixtures of student-t distributions
by Víctor H. Lachos & Celso R. B. Cabral & Marcos O. Prates & Dipak K. Dey - 153-171 Joint modelling of two count variables when one of them can be degenerate
by Jacek Osiewalski & Jerzy Marzec - 173-199 Modified beta modified-Weibull distribution
by Abdus Saboor & Muhammad Nauman Khan & Gauss M. Cordeiro & Marcelino A. R. Pascoa & Juliano Bortolini & Shahid Mubeen - 201-231 Improved model-based clustering performance using Bayesian initialization averaging
by Adrian O’Hagan & Arthur White - 233-252 Bayesian analysis of Weibull distribution based on progressive type-II censored competing risks data with binomial removals
by Manoj Chacko & Rakhi Mohan - 253-279 Approximate Bayesian computation for Lorenz curves from grouped data
by Genya Kobayashi & Kazuhiko Kakamu - 281-299 Neural network gradient Hamiltonian Monte Carlo
by Lingge Li & Andrew Holbrook & Babak Shahbaba & Pierre Baldi - 301-321 Assessing variable importance in clustering: a new method based on unsupervised binary decision trees
by Ghattas Badih & Michel Pierre & Boyer Laurent - 323-347 Shape mixtures of skew-t-normal distributions: characterizations and estimation
by Mostafa Tamandi & Ahad Jamalizadeh & Tsung-I Lin - 349-372 Bootstrapping estimates of stability for clusters, observations and model selection
by Han Yu & Brian Chapman & Arianna Di Florio & Ellen Eischen & David Gotz & Mathews Jacob & Rachael Hageman Blair - 373-394 An extension of the K-means algorithm to clustering skewed data
by Volodymyr Melnykov & Xuwen Zhu - 395-414 Fusion learning algorithm to combine partially heterogeneous Cox models
by Lu Tang & Ling Zhou & Peter X. K. Song - 415-432 Improving the prediction performance of the LASSO by subtracting the additive structural noises
by Morteza Amini & Mahdi Roozbeh - 433-446 A homoscedasticity test for the accelerated failure time model
by Lili Yu & Liang Liu & Ding-Geng Chen
December 2018, Volume 33, Issue 4
- 1563-1587 Joint modeling for mixed-effects quantile regression of longitudinal data with detection limits and covariates measured with error, with application to AIDS studies
by Yuzhu Tian & Manlai Tang & Maozai Tian - 1589-1603 A fast imputation algorithm in quantile regression
by Hao Cheng & Ying Wei - 1605-1625 Quantile regression for linear models with autoregressive errors using EM algorithm
by Yuzhu Tian & Manlai Tang & Yanchao Zang & Maozai Tian - 1627-1648 Estimation of spatial autoregressive models with measurement error for large data sets
by Thomas Suesse - 1649-1685 Simulation of Student–Lévy processes using series representations
by Till Massing - 1687-1713 Bayesian inference of the fractional Ornstein–Uhlenbeck process under a flow sampling scheme
by Theodore Simos & Mike Tsionas - 1715-1731 Bayesian time series regression with nonparametric modeling of autocorrelation
by Tanujit Dey & Kun Ho Kim & Chae Young Lim - 1733-1765 Forecasting seasonal time series data: a Bayesian model averaging approach
by Alexander Vosseler & Enzo Weber - 1767-1798 sppmix: Poisson point process modeling using normal mixture models
by Athanasios C. Micheas & Jiaxun Chen - 1799-1822 ClustGeo: an R package for hierarchical clustering with spatial constraints
by Marie Chavent & Vanessa Kuentz-Simonet & Amaury Labenne & Jérôme Saracco - 1823-1845 fastWKendall: an efficient algorithm for weighted Kendall correlation
by Jie Lin & Donald A. Adjeroh & Bing-Hua Jiang & Yue Jiang - 1847-1862 Applications of conditional power function of two-sample permutation test
by Monjed H. Samuh & Fortunato Pesarin - 1863-1896 Statistical inference for $$L^2$$ L 2 -distances to uniformity
by L. Baringhaus & D. Gaigall & J. P. Thiele - 1897-1921 Preliminary test estimation in system regression models in view of asymmetry
by J. Kleyn & M. Arashi & S. Millard - 1923-1938 Stability approach to selecting the number of principal components
by Jiyeon Song & Seung Jun Shin - 1939-1955 A correction of approximations used in sensitivity study of principal component analysis
by Jacques Bénasséni
September 2018, Volume 33, Issue 3
- 1125-1126 Proceedings of Reisensburg 2014–2015
by Hans A. Kestler & Bernd Bischl & Matthias Schmid - 1127-1143 Model based optimization of a statistical simulation model for single diamond grinding
by Swetlana Herbrandt & Uwe Ligges & Manuel Pinho Ferreira & Michael Kansteiner & Dirk Biermann & Wolfgang Tillmann & Claus Weihs - 1145-1158 Finding small somatic structural variants in exome sequencing data: a machine learning approach
by Matthias Kuhn & Thoralf Stange & Sylvia Herold & Christian Thiede & Ingo Roeder - 1159-1172 Predicting measurements at unobserved locations in an electrical transmission system
by Dirk Surmann & Uwe Ligges & Claus Weihs - 1173-1194 Learning vector quantization classifiers for ROC-optimization
by T. Villmann & M. Kaden & W. Hermann & M. Biehl - 1195-1215 On the choice and influence of the number of boosting steps for high-dimensional linear Cox-models
by Heidi Seibold & Christoph Bernau & Anne-Laure Boulesteix & Riccardo De Bin - 1217-1244 The odd log-logistic Topp–Leone G family of distributions: heteroscedastic regression models and applications
by Morad Alizadeh & Fazlollah Lak & Mahdi Rasekhi & Thiago G. Ramires & Haitham M. Yousof & Emrah Altun - 1245-1266 Additive–multiplicative hazards model with current status data
by Wanrong Liu & Jianglin Fang & Xuewen Lu - 1267-1292 Design of component reliability test plan for a series system having time dependent testing cost with the presence of covariates
by M. Kumar & P. N. Bajeel - 1293-1323 Likelihood-based inference for bivariate latent failure time models with competing risks under the generalized FGM copula
by Jia-Han Shih & Takeshi Emura - 1325-1348 Interval estimation of $$P(X
by M. Mahdizadeh & Ehsan Zamanzade - 1349-1366 Proportion estimation in ranked set sampling in the presence of tie information
by Ehsan Zamanzade & Xinlei Wang - 1367-1384 Inferences on the common mean of several normal populations under heteroscedasticity
by Ahad Malekzadeh & Mahmood Kharrati-Kopaei - 1385-1412 Sample selection models for count data in R
by Karol Wyszynski & Giampiero Marra - 1413-1428 Efficient computation of multivariate empirical distribution functions at the observed values
by David Lee & Harry Joe - 1429-1455 Semiparametric estimation of the link function in binary-choice single-index models
by Alan P. Ker & Abdoul G. Sam - 1457-1473 Post-processing of Markov chain Monte Carlo output in Bayesian latent variable models with application to multidimensional scaling
by Kensuke Okada & Shin-ichi Mayekawa - 1475-1496 High-dimensional variable selection with the plaid mixture model for clustering
by Thierry Chekouo & Alejandro Murua - 1497-1524 Transformation of variables and the condition number in ridge estimation
by Román Salmerón & José García & Catalina García & María del Mar López - 1525-1561 Rank-based Liu regression
by Mohammad Arashi & Mina Norouzirad & S. Ejaz Ahmed & Bahadır Yüzbaşı
June 2018, Volume 33, Issue 2
- 563-593 Logistic regression diagnostics in ridge regression
by M. Revan Özkale & Stanley Lemeshow & Rodney Sturdivant - 595-621 Model selection criteria based on cross-validatory concordance statistics
by Patrick Ten Eyck & Joseph E. Cavanaugh - 623-638 H-relative error estimation for multiplicative regression model with random effect
by Zhanfeng Wang & Zhuojian Chen & Zimu Chen - 639-658 New designs to consistently estimate the isotonic regression
by Ana Colubi & J. Santos Dominguez-Menchero & Gil Gonzalez-Rodriguez - 659-674 Robust empirical likelihood for partially linear models via weighted composite quantile regression
by Peixin Zhao & Xiaoshuang Zhou - 675-708 Robust estimation and moment selection in dynamic fixed-effects panel data models
by P. Čížek & M. Aquaro - 709-730 Estimating nonlinear effects in the presence of cure fraction using a semi-parametric regression model
by Thiago G. Ramires & Niel Hens & Gauss M. Cordeiro & Edwin M. M. Ortega - 731-756 A lack-of-fit test for generalized linear models via single-index techniques
by Chin-Shang Li & Minggen Lu - 757-786 On the examination of the reliability of statistical software for estimating regression models with discrete dependent variables
by Jason S. Bergtold & Krishna P. Pokharel & Allen M. Featherstone & Lijia Mo - 787-806 Extending AIC to best subset regression
by J. G. Liao & Joseph E. Cavanaugh & Timothy L. McMurry - 807-836 On the zero-modified Poisson–Shanker regression model and its application to fetal deaths notification data
by Wesley Bertoli & Katiane S. Conceição & Marinho G. Andrade & Francisco Louzada - 837-861 Pairwise likelihood inference for the random effects probit model
by T.-F. Lo & P.-H. Ke & W.-J. Tsay - 863-885 Optimal difference-based estimation for partially linear models
by Yuejin Zhou & Yebin Cheng & Wenlin Dai & Tiejun Tong - 887-901 Generalized good lattice point sets
by Zong-Feng Qi & Xue-Ru Zhang & Yong-Dao Zhou - 903-931 Robust population designs for longitudinal linear regression model with a random intercept
by Xiao-Dong Zhou & Yun-Juan Wang & Rong-Xian Yue - 933-965 Choice of optimal second stage designs in two-stage experiments
by A. M. Elsawah - 967-982 Likelihood computation in the normal-gamma stochastic frontier model
by Bernardo B. Andrade & Geraldo S. Souza - 983-996 Working correlation structure selection in generalized estimating equations
by Liya Fu & Yangyang Hao & You-Gan Wang - 997-1015 A heuristic, iterative algorithm for change-point detection in abrupt change models
by Salvatore Fasola & Vito M. R. Muggeo & Helmut Küchenhoff - 1017-1045 A pruned recursive solution to the multiple change point problem
by Eric Ruggieri - 1047-1070 On the estimation of nested Archimedean copulas: a theoretical and an experimental comparison
by Nathan Uyttendaele - 1071-1090 Notes on kernel density based mode estimation using more efficient sampling designs
by Hani Samawi & Haresh Rochani & JingJing Yin & Daniel Linder & Robert Vogel - 1091-1123 Statistical inference in mechanistic models: time warping for improved gradient matching
by Mu Niu & Benn Macdonald & Simon Rogers & Maurizio Filippone & Dirk Husmeier
March 2018, Volume 33, Issue 1
- 1-29 Efficient importance sampling in low dimensions using affine arithmetic
by Richard G. Everitt - 31-74 Statistical inference under adaptive progressive censoring scheme
by M. M. Mohie El-Din & A. R. Shafay & M. Nagy - 75-98 Comparative study and sensitivity analysis of skewed spatial processes
by Jiangyan Wang & Miao Yang & Anandamayee Majumdar - 99-126 Objective bayesian analysis of the Yule–Simon distribution with applications
by Fabrizio Leisen & Luca Rossini & Cristiano Villa - 127-158 Efficient MCMC estimation of inflated beta regression models
by Phillip Li - 159-177 Independent sampling for Bayesian normal conditional autoregressive models with OpenCL acceleration
by Mary Kathryn Cowles & Stephen Bonett & Michael Seedorff - 179-212 Coupling stochastic EM and approximate Bayesian computation for parameter inference in state-space models
by Umberto Picchini & Adeline Samson - 213-234 Posterior simulation via the exponentially tilted signed root log-likelihood ratio
by Samer A. Kharroubi - 235-248 Objective Bayesian model selection approach to the two way analysis of variance
by J. A. Cano & C. Carazo & D. Salmerón - 249-275 Classical and Bayesian inference in two parameter exponential distribution with randomly censored data
by H. Krishna & N. Goel - 277-297 Bayesian estimation of generalized gamma shared frailty model
by Sukhmani Sidhu & Kanchan Jain & Suresh Kumar Sharma - 299-318 Birnbaum–Saunders power-exponential kernel density estimation and Bayes local bandwidth selection for nonnegative heavy tailed data
by Yasmina Ziane & Nabil Zougab & Smail Adjabi - 319-338 Heteroscedastic replicated measurement error models under asymmetric heavy-tailed distributions
by Chunzheng Cao & Mengqian Chen & Yahui Wang & Jian Qing Shi - 339-356 Improved parameter estimation of the log-logistic distribution with applications
by Joseph Reath & Jianping Dong & Min Wang - 357-377 A comparative study of methods for testing the equality of two or more ROC curves
by Arís Fanjul-Hevia & Wenceslao González-Manteiga - 379-411 A powerful wild bootstrap diagnosis of panel unit roots under linear trends and time-varying volatility
by Helmut Herwartz & Yabibal M. Walle - 413-441 Abrupt change in mean using block bootstrap and avoiding variance estimation
by Barbora Peštová & Michal Pešta - 443-465 On the invertibility of seasonally adjusted series
by Yuliya Lovcha & Alejandro Perez-Laborda & Luis Gil-Alana - 467-485 Local optimization of black-box functions with high or infinite-dimensional inputs: application to nuclear safety
by Angelina Roche - 487-501 Calculating quantiles of noisy distribution functions using local linear regressions
by Björn Bornkamp - 503-525 A peeling algorithm for multiple testing on a random field
by Joungyoun Kim & Donghyeon Yu & Johan Lim & Joong-Ho Won - 527-548 Estimation of generalized structured component analysis models with alternating least squares
by Rainer Schlittgen - 549-562 Joint records from two exponential populations and associated inference
by William Volterman & R. Arabi Belaghi & N. Balakrishnan
December 2017, Volume 32, Issue 4
- 1213-1240 Bootstrap and permutation tests in ANOVA for directional data
by Adelaide Figueiredo - 1241-1283 An ‘apples to apples’ comparison of various tests for exponentiality
by J. S. Allison & L. Santana & N. Smit & I. J. H. Visagie - 1285-1308 Resampling based inference for a distribution function using censored ranked set samples
by M. Mahdizadeh & E. Strzalkowska-Kominiak - 1309-1322 Tests of perfect judgment ranking using pseudo-samples
by Saeid Amiri & Reza Modarres & Silvelyn Zwanzig - 1323-1338 A Monte Carlo evaluation of the performance of two new tests for symmetry
by James S. Allison & Charl Pretorius