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1901
Earlier work this paper cites.
Besag, J. (1974), “Spatial interaction and the statistical analysis of lattice systems,” Journal of the Royal Statistical Society. Series B (Methodological)
1974
Earlier work this paper cites.
Zeger, S. L. (1988), “A regression model for time series of counts,” Biometrika
1988
Earlier work this paper cites.
Gu, C., and Wahba, G. (1993), “Smoothing spline ANOVA with component-wise Bayesian “confidence intervals”,” Journal of Computational and Graphical Statistics
1993
Earlier work this paper cites.
Hastie, T., and Tibshirani, R. (1993), “Varying-coefficient models,” Journal of the Royal Statistical Society: Series B (Methodological)
1993
Earlier work this paper cites.
Chan, K., and Ledolter, J. (1995), “Monte Carlo EM estimation for time series models involving counts,” Journal of the American Statistical Association
1995
Earlier work this paper cites.
He, X., and Shi, P. (1998), “Monotone B-spline smoothing,” Journal of the American statistical Association
1998
Earlier work this paper cites.
Cai, Z., Fan, J., and Yao, Q. (2000), “Functional-coefficient regression models for nonlinear time series,” Journal of the American Statistical Association
2000
Earlier work this paper cites.
Biller, C., and Fahrmeir, L. (2001), “Bayesian varying-coefficient models using adaptive regression splines,” Statistical Modelling
2001
Earlier work this paper cites.
Brandt, P. T., and Williams, J. T. (2001), “A linear Poisson autoregressive model: The Poisson AR (p) model,” Political Analysis
2001
Earlier work this paper cites.
De Boor, C. (2001), “A practical guide to splines, revised Edition, Vol. 27 of Applied Mathematical Sciences,” Mechanical Sciences, year
2001
Earlier work this paper cites.
Huang, J. Z., Wu, C. O., and Zhou, L. (2002), “Varying-coefficient models and basis function approximations for the analysis of repeated measurements,” Biometrika
2002
Earlier work this paper cites.
Chan-Yeung, M., and Xu, R.-H. (2003), “SARS: epidemiology,” Respirology
2003
Earlier work this paper cites.
Davis, R. A., Dunsmuir, W. T., and Streett, S. B. (2003), “Observation-driven models for Poisson counts,” Biometrika
2003
Earlier work this paper cites.
2003
Earlier work this paper cites.
Huang, J. Z., and Shen, H. (2004), “Functional coefficient regression models for non-linear time series: a polynomial spline approach,” Scandinavian journal of statistics
2004
Earlier work this paper cites.
Dahlhaus, R., and Subba Rao, S. (2006), “Statistical inference for time-varying ARCH processes,” Ann. Statist
2006
Cited alongside, same era.
Ferland, R., Latour, A., and Oraichi, D. (2006), “Integer-valued GARCH process,” Journal of Time Series Analysis
2006
Cited alongside, same era.
Amorim, L. D., Cai, J., Zeng, D., and Barreto, M. L. (2008), “Regression splines in the time-dependent coefficient rates model for recurrent event data,” Statistics in medicine
2008
Cited alongside, same era.
Clancy, D., O’Neill, P. D. et al. (2008), “Bayesian estimation of the basic reproduction number in stochastic epidemic models,” Bayesian Analysis
2008
Cited alongside, same era.
Fan, J., and Zhang, W. (2008), “Statistical methods with varying coefficient models,” Statistics and its Interface
2008
Cited alongside, same era.
Yue, Y. R., Simpson, D., Lindgren, F., Rue, H. et al. (2014), “Bayesian adaptive smoothing splines using stochastic differential equations,” Bayesian Analysis
2014
Later among the works it cites.
Alsolamy, S., and Arabi, Y. M. (2015), “Infection with Middle East respiratory syndrome coronavirus.,” Canadian journal of respiratory therapy: CJRT= Revue canadienne de la therapie respiratoire: RCTR
2015
Later among the works it cites.
Shen, W., and Ghosal, S. (2015), “Adaptive Bayesian procedures using random series priors,” Scandinavian Journal of Statistics
2015
Later among the works it cites.
Silveira de Andrade, B., Andrade, M. G., and Ehlers, R. S. (2015), “Bayesian GARMA models for count data,” Communications in Statistics: Case Studies, Data Analysis and Applications
2015
Later among the works it cites.
Ahmad, A., and Francq, C. (2016), “Poisson QMLE of count time series models,” Journal of Time Series Analysis
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Fryzlewicz, P., Sapatinas, T., and Subba Rao, S. (2008), “Normalized least-squares estimation in time-varying ARCH models,” Ann. Statist
2008
Cited alongside, same era.
Biswas, A., and Song, P. X.-K. (2009), “Discrete-valued ARMA processes,” Statistics & probability letters
2009
Cited alongside, same era.
Jewell, C. P., Kypraios, T., Neal, P., Roberts, G. O. et al. (2009), “Bayesian analysis for emerging infectious diseases,” Bayesian analysis
2009
Cited alongside, same era.
Neal, R. M. et al. (2011), “MCMC using Hamiltonian dynamics,” Handbook of Markov Chain Monte Carlo
2011
Cited alongside, same era.
Zhu, F. (2011), “A negative binomial integer-valued GARCH model,” Journal of Time Series Analysis
2011
Cited alongside, same era.
Meyer, M. C. (2012), “Constrained penalized splines,” Canadian Journal of Statistics
2012
Cited alongside, same era.
Obadia, T., Haneef, R., and Boëlle, P.-Y. (2012), “The R0 package: a toolbox to estimate reproduction numbers for epidemic outbreaks,” BMC medical informatics and decision making
2012
Cited alongside, same era.
2016
Later among the works it cites.
Das, P., and Ghosal, S. (2017), “Bayesian quantile regression using random B-spline series prior,” Computational Statistics & Data Analysis
2017
Later among the works it cites.
Ferreira, G., Navarrete, J. P., Rodríguez-Cortés, F. J., and Mateu, J. (2017), “Estimation and prediction of time-varying GARCH models through a state-space representation: a computational approach,” Journal of Statistical Computation and Simulation
2017
Later among the works it cites.
Karmakar, S. (2018), Asymptotic Theory for Simultaneous Inference Under Dependence,, Technical report, University of Chicago
2018
Later among the works it cites.
Mulgrave, J. J., Ghosal, S. et al. (2018), “Bayesian inference in nonparanormal graphical models,” Bayesian Analysis
2018
Later among the works it cites.
Roy, A., Ghosal, S., Choudhury, K. R. et al. (2018), “High Dimensional Single-Index Bayesian Modeling of Brain Atrophy,” Bayesian Analysis
2018
Later among the works it cites.
Franco-Villoria, M., Ventrucci, M., Rue, H. et al. (2019), “A unified view on Bayesian varying coefficient models,” Electronic Journal of Statistics
2019
Later among the works it cites.
Lauer, S. A., Grantz, K. H., Bi, Q., Jones, F. K., Zheng, Q., Meredith, H. R., Azman, A. S., Reich, N. G., and Lessler, J. (2020 a
2019
Later among the works it cites.
Lauer, S. A., Grantz, K. H., Bi, Q., Jones, F. K., Zheng, Q., Meredith, H. R., Azman, A. S., Reich, N. G., and Lessler, J. (2020 b
2019
Later among the works it cites.
Karmakar, S., Richter, S., and Wu, W. B. (2020+), “Simultaneous inference for time-varying models,” In revision, https://sayarkarmakar.github.io/publications/sayar1.pdf
2020
Closest in time.
Karmakar, S., and Wu, W. B. (2020), “Optimal Gaussian Approximation for Multiple Time Series,” Statistica Sinica
2020
Closest in time.
Song, P. X., Wang, L., Zhou, Y., He, J., Zhu, B., Wang, F., Tang, L., and Eisenberg, M. (2020), “An epidemiological forecast model and software assessing interventions on COVID-19 epidemic in China,” medRxiv
2020
Closest in time.