Computational Statistics

2000 - 2025

Current editor(s): Wataru Sakamoto, Ricardo Cao and Jürgen Symanzik

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Volume 38, issue 4, 2023

The 2019 data challenge expo of the American Statistical Association pp. 1621-1627

Daniel Goldstein, Elyzabeth Gaumer and Wendy Martinez

House quality index construction and rent prediction in New York City with interactive visualization and product design pp. 1629-1641

Xiang Shen, Shunyan Luo and Mingze Zhang

An analysis of the impact of rent control on New York City housing pp. 1643-1656

Benjamin W. Schweitzer, Robert C. Garrett, Lydia Carter, Alison Tuiyott, Karsten Maurer and Thomas J. Fisher

Immigrant residency and happiness in New York City pp. 1657-1668

Alison Tuiyott, Robert C. Garrett, Lydia Carter, Benjamin Schweitzer, Karsten Maurer and Thomas J. Fisher

A statistical framework for analyzing housing quality: a case study of New York City pp. 1669-1685

Damien Chambon and Jacob Gerszten

Housing variables and immigration: an exploratory analysis in New York City pp. 1687-1717

Jhonatan Medri, Braden D. Probst and Jürgen Symanzik

Correction: Housing variables and immigration: an exploratory analysis in New York City pp. 1719-1719

Jhonatan Medri, Braden D. Probst and Jürgen Symanzik

An exact sampler for fully Baysian elastic net pp. 1721-1734

Hai-Bin Wang and Jian Wang

Joint Bayesian longitudinal models for mixed outcome types and associated model selection techniques pp. 1735-1769

Nicholas Seedorff, Grant Brown, Breanna Scorza and Christine A. Petersen

Bayesian variable selection using Knockoffs with applications to genomics pp. 1771-1790

Jurel K. Yap and Iris Ivy M. Gauran

Bayesian multilevel logistic regression models: a case study applied to the results of two questionnaires administered to university students pp. 1791-1810

Cristian David Correa-Álvarez, Juan Carlos Salazar-Uribe and Luis Raúl Pericchi-Guerra

Solving linear Bayesian inverse problems using a fractional total variation-Gaussian (FTG) prior and transport map pp. 1811-1849

Zejun Sun and Guang-Hui Zheng

The computing of the Poisson multinomial distribution and applications in ecological inference and machine learning pp. 1851-1877

Zhengzhi Lin, Yueyao Wang and Yili Hong

Probabilistic learning constrained by realizations using a weak formulation of Fourier transform of probability measures pp. 1879-1925

Christian Soize

An evolutionary estimation procedure for generalized semilinear regression trees pp. 1927-1946

Giulia Vannucci and Anna Gottard

Deep support vector quantile regression with non-crossing constraints pp. 1947-1976

Wooyoung Shin and Yoonsuh Jung

Fitting sparse Markov models through a collapsed Gibbs sampler pp. 1977-1994

Iris Bennett, Donald E. K. Martin and Soumendra Nath Lahiri

On the fast computation of the Dirichlet-multinomial log-likelihood function pp. 1995-2013

Alessandro Languasco and Mauro Migliardi

Variational Bayes estimation of hierarchical Dirichlet-multinomial mixtures for text clustering pp. 2015-2051

Massimo Bilancia, Michele Nanni, Fabio Manca and Gianvito Pio

Sparse Bayesian learning with automatic-weighting Laplace priors for sparse signal recovery pp. 2053-2074

Zonglong Bai and Jinwei Sun

A flexible two-piece normal dynamic linear model pp. 2075-2096

Emanuele Aliverti, Reinaldo B. Arellano-Valle, Fereshteh Kahrari and Bruno Scarpa

Target-aware Bayesian inference via generalized thermodynamic integration pp. 2097-2119

F. Llorente, L. Martino and D. Delgado

Volume 38, issue 3, 2023

The 2018 data challenge expo of the American statistical association pp. 1117-1122

Mine Cetinkaya-Rundel and Wendy Martinez

Accuracy of precipitation forecasts: finding the right threshold for what is considered rain pp. 1123-1134

Darren Keeley and Eric A. Suess

Let’s talk about the weather: a cluster-based approach to weather forecast accuracy pp. 1135-1155

Jill F. Lundell, Brennan Bean and Jürgen Symanzik

A spatial extension of weather forecasts pp. 1157-1171

Benjamin Schweitzer, Robert C. Garrett, Nichole Rook and Thomas J. Fisher

An exploration of National Weather Service daily forecasts using R Shiny pp. 1173-1191

Dooti Roy, Gregory Vaughan, Jianan Hui and Junxian Geng

Unsupervised learning on U.S. weather forecast performance pp. 1193-1213

Chuyuan Lin, Ying Yu, Lucas Y. Wu and Jiguo Cao

Spatial correlation in weather forecast accuracy: a functional time series approach pp. 1215-1229

Phillip A. Jang and David S. Matteson

Geometric goodness of fit measure to detect patterns in data point clouds pp. 1231-1253

Alberto J. Hernández and Maikol Solís

Community detection for New York stock market by SCORE-CCD pp. 1255-1282

Yanan Yan and Yuehan Yang

hhsmm: an R package for hidden hybrid Markov/semi-Markov models pp. 1283-1335

Morteza Amini, Afarin Bayat and Reza Salehian

Sparse precision matrix estimation with missing observations pp. 1337-1355

Ning Zhang and Jin Yang

On the estimation of partially observed continuous-time Markov chains pp. 1357-1389

Alan Riva-Palacio, Ramsés H. Mena and Stephen G. Walker

Tempered expectation-maximization algorithm for the estimation of discrete latent variable models pp. 1391-1424

Luca Brusa, Francesco Bartolucci and Fulvia Pennoni

Correction to: Tempered expectation-maximization algorithm for the estimation of discrete latent variable models pp. 1425-1425

Luca Brusa, Francesco Bartolucci and Fulvia Pennoni

Polynomial whitening for high-dimensional data pp. 1427-1461

Jonathan Gillard, Emily O’Riordan and Anatoly Zhigljavsky

Two-parameter link functions, with applications to negative binomial, Weibull and quantile regression pp. 1463-1485

V. F. Miranda-Soberanis and Thomas W. Yee

Clustering directional data through depth functions pp. 1487-1506

Giuseppe Pandolfo and Antonio D’ambrosio

Depth-based reconstruction method for incomplete functional data pp. 1507-1535

Antonio Elías, Raúl Jiménez and Han Lin Shang

Comparing the diagnostic performance of methods used in a full-factorial design multi-reader multi-case studies pp. 1537-1553

Merve Basol, Dincer Goksuluk and Ergun Karaagaoglu

Pretest and shrinkage estimators for log-normal means pp. 1555-1578

Mahmoud Aldeni, John Wagaman, Mohamed Amezziane and S. Ejaz Ahmed

Quicksort leave-pair-out cross-validation for ROC curve analysis pp. 1579-1595

Riikka Numminen, Ileana Montoya Perez, Ivan Jambor, Tapio Pahikkala and Antti Airola

Parameter-wise co-clustering for high-dimensional data pp. 1597-1619

M. P. B. Gallaugher, C. Biernacki and P. D. McNicholas

Volume 38, issue 2, 2023

Approximate Bayesian computation using asymptotically normal point estimates pp. 531-568

George Karabatsos

Fast Bayesian Inference for Birnbaum-Saunders Distribution pp. 569-601

Mahdi Teimouri

Bayesian spatial quantile modeling applied to the incidence of extreme poverty in Lima–Peru pp. 603-621

Carlos García, Zaida Quiroz and Marcos Prates

Bayesian flexible beta regression model with functional covariate pp. 623-645

Agnese Maria Di Brisco, Enea Giuseppe Bongiorno, Aldo Goia and Sonia Migliorati

Pseudo-document simulation for comparing LDA, GSDMM and GPM topic models on short and sparse text using Twitter data pp. 647-674

Christoph Weisser, Christoph Gerloff, Anton Thielmann, Andre Python, Arik Reuter, Thomas Kneib and Benjamin Säfken

Bayesian estimation versus maximum likelihood estimation in the Weibull-power law process pp. 675-710

Alicja Jokiel-Rokita and Ryszard Magiera

Bayesian estimation and classification for two logistic populations with a common location pp. 711-748

Pushkal Kumar, Manas Ranjan Tripathy and Somesh Kumar

A synthetic likelihood approach for intractable markov random fields pp. 749-777

Wanchuang Zhu and Yanan Fan

Model averaging for sparse seemingly unrelated regression using Bayesian networks among the errors pp. 779-808

Abdul Salam and Marco Grzegorczyk

Variable selection for categorical response: a comparative study pp. 809-826

Sweata Sen, Damitri Kundu and Kiranmoy Das

An efficient adaptive MCMC algorithm for Pseudo-Bayesian quantum tomography pp. 827-843

The Tien Mai

Bayesian analysis of spherically parameterized dynamic multivariate stochastic volatility models pp. 845-869

Guanyu Hu, Ming-Hui Chen and Nalini Ravishanker

A global two-stage algorithm for non-convex penalized high-dimensional linear regression problems pp. 871-898

Peili Li, Min Liu and Zhou Yu

Estimation of logistic regression with covariates missing separately or simultaneously via multiple imputation methods pp. 899-934

Shen-Ming Lee, Truong-Nhat Le, Phuoc-Loc Tran and Chin-Shang Li

A linear spline Cox cure model with its applications pp. 935-954

Yu Liu and Chin-Shang Li

Multivariate mixed Poisson Generalized Inverse Gaussian INAR(1) regression pp. 955-977

Zezhun Chen, Angelos Dassios and George Tzougas

A semi-parametric approach to feature selection in high-dimensional linear regression models pp. 979-1000

Yuyang Liu, Pengfei Pi and Shan Luo

Smoothed quantile regression for censored residual life pp. 1001-1022

Kyu Hyun Kim, Daniel J. Caplan and Sangwook Kang

Extended mean-conditional value-at-risk portfolio optimization with PADM and conditional scenario reduction technique pp. 1023-1040

Tahereh Khodamoradi and Maziar Salahi

Influence function-based confidence intervals for the Kendall rank correlation coefficient pp. 1041-1055

Zhonglu Huang and Gengsheng Qin

Doubly time-dependent Hawkes process and applications in failure sequence analysis pp. 1057-1093

Lu-ning Zhang, Jian-wei Liu and Xin Zuo

Sparse online principal component analysis for parameter estimation in factor model pp. 1095-1116

Guangbao Guo, Chunjie Wei and Guoqi Qian

Volume 38, issue 1, 2023

Controlling the familywise error rate when performing multiple comparisons in a linear latent variable model pp. 1-23

Brice Ozenne, Esben Budtz-Jørgensen and Sebastian Elgaard Ebert

The fuzzy cluster analysis for interval value using genetic algorithm and its application in image recognition pp. 25-51

Dinh Phamtoan and Tai Vovan

Sparse reduced-rank regression for simultaneous rank and variable selection via manifold optimization pp. 53-75

Kohei Yoshikawa and Shuichi Kawano

Correction: Sparse reduced-rank regression for simultaneous rank and variable selection via manifold optimization pp. 77-78

Kohei Yoshikawa and Shuichi Kawano

Estimation of spatial-functional based-line logit model for multivariate longitudinal data pp. 79-99

Tengteng Xu, Riquan Zhang and Xiuzhen Zhang

Permutation testing for thick data when the number of variables is much greater than the sample size: recent developments and some recommendations pp. 101-132

Patrick B. Langthaler, Riccardo Ceccato, Luigi Salmaso, Rosa Arboretti and Arne C. Bathke

Efficient computation of tight approximations to Chernoff bounds pp. 133-147

Daniel Shiu

Semi-supervised adapted HMMs for P2P credit scoring systems with reject inference pp. 149-169

Monir El Annas, Badreddine Benyacoub and Mohamed Ouzineb

Simplified partially observed quasi-information matrix pp. 171-189

Thuan Nguyen and Jiming Jiang

Adaptive smoothing spline estimator for the function-on-function linear regression model pp. 191-216

Fabio Centofanti, Antonio Lepore, Alessandra Menafoglio, Biagio Palumbo and Simone Vantini

An efficient GPU-parallel coordinate descent algorithm for sparse precision matrix estimation via scaled lasso pp. 217-242

Seunghwan Lee, Sang Cheol Kim and Donghyeon Yu

Speeding up the convergence of the alternating least squares algorithm using vector $$\varepsilon $$ ε acceleration and restarting for nonlinear principal component analysis pp. 243-262

Masahiro Kuroda, Yuichi Mori and Masaya Iizuka

Kernel regression for cause-specific hazard models with time-dependent coefficients pp. 263-283

Xiaomeng Qi and Zhangsheng Yu

Model selection using PRESS statistic pp. 285-298

Ida Marie Alcantara, Joshua Naranjo and Yanda Lang

A robust threshold t linear mixed model for subgroup identification using multivariate T distributions pp. 299-326

Rui Zhang, Guoyou Qin and Dongsheng Tu

Adjusting the adjusted Rand Index pp. 327-347

Martina Sundqvist, Julien Chiquet and Guillem Rigaill

Using reference models in variable selection pp. 349-371

Federico Pavone, Juho Piironen, Paul-Christian Bürkner and Aki Vehtari

Predictors with measurement error in mixtures of polynomial regressions pp. 373-401

Xiaoqiong Fang, Andy W. Chen and Derek S. Young

A survival regression with cure fraction applied to cervical cancer pp. 403-418

Vicente G. Cancho, Elizbeth C. Bedia, Gauss M. Cordeiro, Fábio Prataviera, Edwin M. M. Ortega and Ana P. J. E. Santo

Supervised classification of curves via a combined use of functional data analysis and tree-based methods pp. 419-459

Fabrizio Maturo and Rosanna Verde

Labeled optimal partitioning pp. 461-480

Toby Dylan Hocking and Anuraag Srivastava

Analysis of progressive type-II censored gamma distribution pp. 481-508

Sanku Dey, Ahmed Elshahhat and Mazen Nassar

Model aggregation for doubly divided data with large size and large dimension pp. 509-529

Baihua He, Yanyan Liu, Guosheng Yin and Yuanshan Wu