A bivariate Weibull count model for forecasting association football scores G Boshnakov, T Kharrat, IG McHale International Journal of Forecasting 33 (2), 458-466, 2017 | 115 | 2017 |
Some measures for asymmetry of distributions GN Boshnakov Statistics & probability letters 77 (11), 1111-1116, 2007 | 34 | 2007 |
Recursive computation of the parameters of periodic autoregressive moving‐average processes GN Boshnakov Journal of Time Series Analysis 17 (4), 333-349, 1996 | 29 | 1996 |
On first and second order stationarity of random coefficient models GN Boshnakov Linear algebra and its applications 434 (2), 415-423, 2011 | 23 | 2011 |
Generation of time series models with given spectral properties GN Boshnakov, BM Iqelan Journal of Time Series Analysis 30 (3), 349-368, 2009 | 21 | 2009 |
Package ‘fbasics’ D Wuertz, T Setz, Y Chalabi, M Maechler, MT Setz Rmetrics-markets and basic statistics. R foundation for statistical …, 2017 | 20 | 2017 |
Flexible Regression Models for Count Data Based on Renewal Processes: The Countr Package T Kharrat, GN Boshnakov, I McHale, R Baker Journal of Statistical Software 90 (13), 1-35, 2019 | 19 | 2019 |
A periodic Levinson–Durbin algorithm for entropy maximization GN Boshnakov, S Lambert-Lacroix Computational statistics & data analysis 56 (1), 15-24, 2012 | 18 | 2012 |
Analytic expressions for predictive distributions in mixture autoregressive models GN Boshnakov Statistics & probability letters 79 (15), 1704-1709, 2009 | 17 | 2009 |
Book Review: Introduction to Time Series Analysis and Forecasting, Wiley Series in Probability and Statistics GN Boshnakov Journal of Time Series Analysis 37 (6), 864-864, 2016 | 16* | 2016 |
Heavy-tailed mixture GARCH volatility modeling and Value-at-Risk estimation NY Nikolaev, GN Boshnakov, R Zimmer Expert Systems with Applications 40 (6), 2233-2243, 2013 | 16 | 2013 |
A Frequency Domain Approach for the Estimation of Parameters of Spatio‐Temporal Stationary Random Processes TS Rao, S Das, GN Boshnakov Journal of Time Series Analysis 35 (4), 357-377, 2014 | 14 | 2014 |
Periodically correlated solutions to a class of stochastic difference equations I Csiszár, G Michaletzky, GN Boshnakov Stochastic differential and difference equations, 1-9, 1997 | 13 | 1997 |
Multi-companion matrices GN Boshnakov Linear algebra and its applications 354 (1-3), 53-83, 2002 | 11 | 2002 |
The asymptotic covariance matrix of the multivariate serial correlations GN Boshnakov Stochastic processes and their applications 65 (2), 251-258, 1996 | 11 | 1996 |
Periodically correlated sequences: some properties and recursions GN Boshnakov Luleå University of Technology, 1994 | 11 | 1994 |
Countr: Flexible Univariate Count Models Based on Renewal Processes T Kharrat, GN Boshnakov R package; https://CRAN.R-project.org/package=Countr, 2016 | 9 | 2016 |
Bartlett's formulae—Closed forms and recurrent equations GN Boshnakov Annals of the institute of statistical mathematics 48 (1), 49-59, 1996 | 9 | 1996 |
Prediction with mixture autoregressive models GN Boshnakov Research Report, 2006 | 8 | 2006 |
mixAR: mixture autoregressive models, R package version 0.22.4 GN Boshnakov, D Ravagli https://CRAN.R-project.org/package=mixAR, 2020 | 7* | 2020 |