Content
December 2020, Volume 35, Issue 4
- 1853-1878 Regression and subgroup detection for heterogeneous samples
by Baosheng Liang & Peng Wu & Xingwei Tong & Yanping Qiu - 1879-1894 Estimating the number of clusters via a corrected clustering instability
by Jonas M. B. Haslbeck & Dirk U. Wulff - 1895-1925 Use of the heuristic optimization in the parameter estimation of generalized gamma distribution: comparison of GA, DE, PSO and SA methods
by Volkan Soner Özsoy & Mehmet Güray Ünsal & H. Hasan Örkcü - 1927-1950 Comparing scale parameters in several gamma distributions with known shapes
by Ali Akbar Jafari & Javad Shaabani - 1951-1991 Comparison among simultaneous confidence regions for nonlinear diffusion models
by Claudia Furlan & Cinzia Mortarino - 1993-2017 Implementation of a goodness-of-fit test through Khmaladze martingale transformation
by Jiwoong Kim - 2019-2042 Modified empirical likelihood-based confidence intervals for data containing many zero observations
by Patrick Stewart & Wei Ning - 2043-2076 Geometric ergodicity of a Metropolis-Hastings algorithm for Bayesian inference of phylogenetic branch lengths
by David A. Spade - 2077-2092 Bayesian robust estimation of partially functional linear regression models using heavy-tailed distributions
by Guodong Shan & Yiheng Hou & Baisen Liu
September 2020, Volume 35, Issue 3
- 893-930 A Bayesian perspective of statistical machine learning for big data
by Rajiv Sambasivan & Sourish Das & Sujit K. Sahu - 931-945 A support vector machine based semiparametric mixture cure model
by Peizhi Li & Yingwei Peng & Ping Jiang & Qingli Dong - 947-981 Data driven value-at-risk forecasting using a SVR-GARCH-KDE hybrid
by Marius Lux & Wolfgang Karl Härdle & Stefan Lessmann - 983-999 Random forest with acceptance–rejection trees
by Peter Calhoun & Melodie J. Hallett & Xiaogang Su & Guy Cafri & Richard A. Levine & Juanjuan Fan - 1001-1026 BEST: a decision tree algorithm that handles missing values
by Cédric Beaulac & Jeffrey S. Rosenthal - 1027-1057 Modelling rankings in R: the PlackettLuce package
by Heather L. Turner & Jacob Etten & David Firth & Ioannis Kosmidis - 1059-1099 An efficient dimension reduction for the Gaussian process emulation of two nested codes with functional outputs
by Sophie Marque-Pucheu & Guillaume Perrin & Josselin Garnier - 1101-1131 Clustering multivariate functional data in group-specific functional subspaces
by Amandine Schmutz & Julien Jacques & Charles Bouveyron & Laurence Chèze & Pauline Martin - 1133-1152 Discrete factor analysis using a dependent Poisson model
by Rolf Larsson - 1153-1170 Ultra-high dimensional variable screening via Gram–Schmidt orthogonalization
by Huiwen Wang & Ruiping Liu & Shanshan Wang & Zhichao Wang & Gilbert Saporta - 1171-1205 Using tours to visually investigate properties of new projection pursuit indexes with application to problems in physics
by Ursula Laa & Dianne Cook - 1207-1230 A faster algorithm to estimate multiresolution densities
by Federico Palacios-González & Rosa M. García-Fernández - 1231-1251 smoothROCtime: an R package for time-dependent ROC curve estimation
by Susana Díaz-Coto & Pablo Martínez-Camblor & Sonia Pérez-Fernández - 1253-1272 One-sided cross-validation for nonsmooth density functions
by Olga Y. Savchuk - 1273-1289 Parallel computing in linear mixed models
by Fulya Gokalp Yavuz & Barret Schloerke - 1291-1317 Multiple imputation and functional methods in the presence of measurement error and missingness in explanatory variables
by Firouzeh Noghrehchi & Jakub Stoklosa & Spiridon Penev - 1319-1344 Efficient inference in state-space models through adaptive learning in online Monte Carlo expectation maximization
by Donna Henderson & Gerton Lunter - 1345-1371 Time-dependent stress–strength reliability models based on phase type distribution
by Joby K. Jose & M. Drisya - 1373-1392 A simple method for implementing Monte Carlo tests
by Dong Ding & Axel Gandy & Georg Hahn - 1393-1409 Detection and estimation of additive outliers in seasonal time series
by Francesco Battaglia & Domenico Cucina & Manuel Rizzo - 1411-1448 A dominance approach for comparing the performance of VaR forecasting models
by Laura Garcia-Jorcano & Alfonso Novales - 1449-1479 Modelling dependency effect to extreme value distributions with application to extreme wind speed at Port Elizabeth, South Africa: a frequentist and Bayesian approaches
by Tadele Akeba Diriba & Legesse Kassa Debusho - 1481-1499 A Bayesian approach to estimate parameters of ordinary differential equation
by Hanwen Huang & Andreas Handel & Xiao Song - 1501-1523 Bayesian multiple changepoints detection for Markov jump processes
by Lu Shaochuan
June 2020, Volume 35, Issue 2
- 423-426 Service data analytics and business intelligence 2017
by Desheng Dash Wu & Wolfgang Karl Härdle - 427-468 Estimation and determinants of Chinese banks’ total factor efficiency: a new vision based on unbalanced development of Chinese banks and their overall risk
by Shiyi Chen & Wolfgang K. Härdle & Li Wang - 469-490 Appointment scheduling optimization with two stages diagnosis for clinic outpatient
by Xuanzhu Fan & Jiafu Tang & Chongjun Yan - 491-514 Improving accuracy of financial distress prediction by considering volatility: an interval-data-based discriminant model
by Rong Guan & Huiwen Wang & Haitao Zheng - 515-538 Real-manufacturing-oriented big data analysis and data value evaluation with domain knowledge
by Weichang Kong & Fei Qiao & Qidi Wu - 539-557 Likelihood-based estimation of a semiparametric time-dependent jump diffusion model of the short-term interest rate
by Tianshun Yan & Yanyong Zhao & Wentao Wang - 559-577 Simple Poisson PCA: an algorithm for (sparse) feature extraction with simultaneous dimension determination
by Luke Smallman & William Underwood & Andreas Artemiou - 579-605 Application of the sequential matrix diagonalization algorithm to high-dimensional functional MRI data
by Manuel Carcenac & Soydan Redif - 607-628 A multivariate extreme value theory approach to anomaly clustering and visualization
by Maël Chiapino & Stephan Clémençon & Vincent Feuillard & Anne Sabourin - 629-646 The spectral condition number plot for regularization parameter evaluation
by Carel F. W. Peeters & Mark A. Wiel & Wessel N. Wieringen - 647-666 Diagnosis and quantification of the non-essential collinearity
by Román Salmerón-Gómez & Ainara Rodríguez-Sánchez & Catalina García-García - 667-687 On linearized ridge logistic estimator in the presence of multicollinearity
by N. H. Jadhav - 689-724 Closed-form maximum likelihood estimator for generalized linear models in the case of categorical explanatory variables: application to insurance loss modeling
by Alexandre Brouste & Christophe Dutang & Tom Rohmer - 725-754 Estimation of a zero-inflated Poisson regression model with missing covariates via nonparametric multiple imputation methods
by Shen-Ming Lee & T. Martin Lukusa & Chin-Shang Li - 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