Computational Statistics & Data Analysis
1983 - 2025
Current editor(s): S.P. Azen From Elsevier Bibliographic data for series maintained by Catherine Liu (). Access Statistics for this journal.
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Volume 100, issue C, 2016
- Spectral approach to parameter-free unit root testing pp. 4-16

- Natalia Bailey and Liudas Giraitis
- Estimation and empirical performance of non-scalar dynamic conditional correlation models pp. 17-36

- Luc Bauwens, Lyudmila Grigoryeva and Juan-Pablo Ortega
- Efficient Gibbs sampling for Markov switching GARCH models pp. 37-57

- Monica Billio, Roberto Casarin and Ayokunle Osuntuyi
- Semiparametric score driven volatility models pp. 58-69

- Francisco Blasques, Jiangyu Ji and Andre Lucas
- Bayesian nonparametric forecasting for INAR models pp. 70-78

- Luisa Bisaglia and Antonio Canale
- Predicting the yield curve using forecast combinations pp. 79-98

- João F. Caldeira, Guilherme Moura and Andre Santos
- On selection of statistics for approximate Bayesian computing (or the method of simulated moments) pp. 99-114

- Michael Creel and Dennis Kristensen
- State space modeling of Gegenbauer processes with long memory pp. 115-130

- G.S. Dissanayake, M.S. Peiris and Tommaso Proietti
- Managing risk with a realized copula parameter pp. 131-152

- Matthias Fengler and Ostap Okhrin
- Skewness and kurtosis of multivariate Markov-switching processes pp. 153-159

- Gabriele Fiorentini, Christophe Planas and Alessandro Rossi
- A simple test for a bubble based on growth and acceleration pp. 160-169

- Philip Hans Franses
- The uncertainty of conditional returns, volatilities and correlations in DCC models pp. 170-185

- Diego E. Fresoli and Esther Ruiz
- The ability to correct the bias in the stable AD(1,1) model with a feedback effect pp. 186-204

- Noud Giersbergen
- On the computation of multivariate scenario sets for the skew-t and generalized hyperbolic families pp. 205-220

- Emanuele Giorgi and Alexander J. McNeil
- Revisiting useful approaches to data-rich macroeconomic forecasting pp. 221-239

- Jan Groen and George Kapetanios
- Improved GMM estimation of panel VAR models pp. 240-264

- Kazuhiko Hayakawa
- On the behaviour of the GMM estimator in persistent dynamic panel data models with unrestricted initial conditions pp. 265-303

- Kazuhiko Hayakawa and Shuichi Nagata
- On conditional covariance modelling: An approach using state space models pp. 304-317

- R. Hendrych and T. Cipra
- Testing for the number of states in hidden Markov models pp. 318-330

- Hajo Holzmann and Florian Schwaiger
- Matrix exponential stochastic volatility with cross leverage pp. 331-350

- Tsunehiro Ishihara, Yasuhiro Omori and Manabu Asai
- Asymmetry in tail dependence in equity portfolios pp. 351-368

- Eric Jondeau
- Forecasting inflation and GDP growth using heuristic optimisation of information criteria and variable reduction methods pp. 369-382

- George Kapetanios, Massimiliano Marcellino and Fotis Papailias
- Testing for jumps in conditionally Gaussian ARMA–GARCH models, a robust approach pp. 383-400

- Sébastien Laurent, Christelle Lecourt and Franz Palm
- Semiparametric GMM estimation and variable selection in dynamic panel data models with fixed effects pp. 401-423

- Rui Li, Alan T.K. Wan and Jinhong You
- Generalized nonparametric smoothing with mixed discrete and continuous data pp. 424-444

- Degui Li, Leopold Simar and Valentin Zelenyuk
- Horizon effect in the term structure of long-run risk-return trade-offs pp. 445-466

- Cédric Okou and Éric Jacquier
- Bootstrap prediction intervals for Markov processes pp. 467-494

- Li Pan and Dimitris N. Politis
- The Fisher effect in the presence of time-varying coefficients pp. 495-511

- Ekaterini Panopoulou and Theologos Pantelidis
- A simple and successful shrinkage method for weighting estimators of treatment effects pp. 512-525

- Winfried Pohlmeier, Ruben Seiberlich and Selver Uysal
- Neighbourhood GMM estimation of dynamic panel data models pp. 526-544

- Vasilis Sarafidis
- Confidence intervals for ARMA–GARCH Value-at-Risk: The case of heavy tails and skewness pp. 545-559

- Laura Spierdijk
- The Split-SV model pp. 560-581

- Vladica S. Stojanović, Biljana Č. Popović and Gradimir V. Milovanović
- Estimation and inference in univariate and multivariate log-GARCH-X models when the conditional density is unknown pp. 582-594

- Genaro Sucarrat, Steffen Grønneberg and Alvaro Escribano
- Linking Tukey’s legacy to financial risk measurement pp. 595-615

- Chu-Ping C. Vijverberg, Wim Vijverberg and Suleyman Taspinar
- Bayesian model selection for unit root testing with multiple structural breaks pp. 616-630

- Alexander Vosseler
- The exact Gaussian likelihood estimation of time-dependent VARMA models pp. 633-644

- Abdelkamel Alj, Kristján Jónasson and Guy Mélard
- A bootstrap approximation for the distribution of the Local Whittle estimator pp. 645-660

- Josu Arteche and Jesus Orbe
- Real-time factor model forecasting and the effects of instability pp. 661-675

- Michael Clements
- Adaptive bandwidth selection in the long run covariance estimator of functional time series pp. 676-693

- Lajos Horvath, Gregory Rice and Stephen Whipple
- Interval-valued time series models: Estimation based on order statistics exploring the Agriculture Marketing Service data pp. 694-711

- Wei Lin and Gloria Gonzalez-Rivera
- Moment Ratio estimation of autoregressive/unit root parameters and autocorrelation-consistent standard errors pp. 712-733

- J. Huston McCulloch
- Approximating and reducing bias in 2SLS estimation of dynamic simultaneous equation models pp. 734-762

- Garry D.A. Phillips and Gareth Liu-Evans
- A Gini-based unit root test pp. 763-772

- Amit Shelef
- Iteratively reweighted adaptive lasso for conditional heteroscedastic time series with applications to AR–ARCH type processes pp. 773-793

- Florian Ziel
- Dynamic equicorrelation stochastic volatility pp. 795-813

- Yuta Kurose and Yasuhiro Omori
- A Bayesian non-parametric approach to asymmetric dynamic conditional correlation model with application to portfolio selection pp. 814-829

- Audrone Virbickaite, M. Concepción Ausín and Pedro Galeano
- Income inequality decomposition using a finite mixture of log-normal distributions: A Bayesian approach pp. 830-846

- Michel Lubrano and Abdoul Aziz Junior Ndoye
- Fast computation of the deviance information criterion for latent variable models pp. 847-859

- Joshua Chan and Angelia Grant
Volume 99, issue C, 2016
- Robust regression estimation and inference in the presence of cellwise and casewise contamination pp. 1-11

- Andy Leung, Hongyang Zhang and Ruben Zamar
- Identification of proportionality structure with two-part models using penalization pp. 12-24

- Kuangnan Fang, Xiaoyan Wang, Ben-Chang Shia and Shuangge Ma
- Testing hypothesis for a simple ordering in incomplete contingency tables pp. 25-37

- Hui-Qiong Li, Guo-Liang Tian, Xue-Jun Jiang and Nian-Sheng Tang
- Bayesian inference of Weibull distribution based on left truncated and right censored data pp. 38-50

- Debasis Kundu and Debanjan Mitra
- Generalized Poisson autoregressive models for time series of counts pp. 51-67

- Cathy W. S. Chen and Sangyeol Lee
- A flexible zero-inflated model to address data dispersion pp. 68-80

- Kimberly F. Sellers and Andrew Raim
- General sparse multi-class linear discriminant analysis pp. 81-90

- Sandra E. Safo and Jeongyoun Ahn
- A generalized likelihood ratio test for normal mean when p is greater than n pp. 91-104

- Junguang Zhao and Xingzhong Xu
- A multiple imputation approach for semiparametric cure model with interval censored data pp. 105-114

- Jie Zhou, Jiajia Zhang, Alexander C. McLain and Bo Cai
- On point estimation of the abnormality of a Mahalanobis index pp. 115-130

- Fadlalla G. Elfadaly, Paul H. Garthwaite and John R. Crawford
- The joint role of trimming and constraints in robust estimation for mixtures of Gaussian factor analyzers pp. 131-147

- Luis Angel García-Escudero, Alfonso Gordaliza, Francesca Greselin, Salvatore Ingrassia and Agustín Mayo-Iscar
- A practical approximation algorithm for the LTS estimator pp. 148-170

- David M. Mount, Nathan S. Netanyahu, Christine D. Piatko, Angela Y. Wu and Ruth Silverman
- SMILE: A novel dissimilarity-based procedure for detecting sparse-specific profiles in sparse contingency tables pp. 171-188

- Mathieu Emily, Christophe Hitte and Alain Mom
- A new method for simultaneous estimation of the factor model parameters, factor scores, and unique parts pp. 189-203

- Alwin Stegeman
- Classification methods for Hilbert data based on surrogate density pp. 204-222

- Enea G. Bongiorno and Aldo Goia
- Small area estimation of the Gini concentration coefficient pp. 223-234

- Enrico Fabrizi and Carlo Trivisano
- On Liu’s simplicial depth and Randles’ interdirections pp. 235-247

- Robert Serfling and Yunfei Wang
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