Fetching the paper…
Reading the bibliography…
Time series of counts arise in a variety of forecasting applications, for which traditional models are generally inappropriate.
Forecasting and stock control for intermittent demands
Croston, J. D · 1972
Earlier work this paper cites.
Stochastic Models, Estimation, and Control, Volume 1
Maybeck, P. S · 1979
Earlier work this paper cites.
Non-Gaussian state—space modeling of nonstationary time series
Kitagawa, G · 1987
Earlier work this paper cites.
On the Demand Distributions of Slow-Moving Items
Kwan, H. W · 1991
Earlier work this paper cites.
Zero-inflated poisson regression, with an application to defects in manufacturing
Lambert, D · 1992
Earlier work this paper cites.
Numerical Optimization
Nocedal, J. and Wright, S. J · 1999
Earlier work this paper cites.
Convergence controls for MCMC algorithms, with applications to hidden Markov chains
Robert, C. P., Rydén, T., and Titterington, D. M · 1999
Earlier work this paper cites.
Time series analysis of non-Gaussian observations based on state space models from both classical and Bayesian perspectives
Durbin, J. and Koopman, S. J · 2000
Earlier work this paper cites.
Sequential Monte Carlo methods in practice
Doucet, A., De Freitas, N., and Gordon, N. (eds.) · 2001
Earlier work this paper cites.
A family of algorithms for approximate Bayesian inference
Minka, T. P · 2001
Earlier work this paper cites.
Expectation propagation for approximate inference in dynamic bayesian networks
Heskes, T. and Zoeter, O · 2002
Earlier work this paper cites.
Bayesian methods for hidden Markov models: Recursive computing in the 21st century
Scott, S. L · 2002
Earlier work this paper cites.
Gaussian Markov Random Fields: Theory and Applications
Rue, H. and Held, L · 2005
Cited alongside, same era.
Stochastic models underlying Croston’s method for intermittent demand forecasting
Shenstone, L. and Hyndman, R. J · 2005
Cited alongside, same era.
On the categorization of demand patterns
Syntetos, A. A., Boylan, J. E., and Croston, J. D · 2005
Cited alongside, same era.
Pattern recognition and machine learning
Bishop, C · 2006
Cited alongside, same era.
Direct methods for sparse linear systems
Davis, T. A · 2006
Cited alongside, same era.
Expectation propagation for inference in non-linear dynamical models with poisson observations
Yu, B M, Shenoy, K V, and Sahani, M · 2006
Cited alongside, same era.
Service Parts Management: Demand Forecasting and Inventory Control
Altay, N. and Litteral, L. A. (eds.) · 2011
Later among the works it cites.
Bayesian time series models
Barber, D., Cemgil, A. T., and Chiappa, S. (eds.) · 2011
Later among the works it cites.
Negative Binomial Regression
Hilbe, J. M · 2011
Later among the works it cites.
Expectation propagation in Gaussian process dynamical systems
Deisenroth, M. and Mohamed, S · 2012
Later among the works it cites.
Time series analysis by state space methods
Durbin, J. and Koopman, S. J · 2012
Later among the works it cites.
Forecasting the intermittent demand for slow-moving inventories: A modelling approach
Snyder, R. D., Ord, J. K., and Beaumont, A · 2012
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Data analysis using regression and multilevel/hierarchical models
Gelman, A. and Hill, J · 2007
Cited alongside, same era.
Time series analysis: forecasting and control
Box, G. E. P., Jenkins, G. M., and Reinsel, G. C · 2008
Cited alongside, same era.
Forecasting with exponential smoothing: the state space approach
Hyndman, R. J., Koehler, A. B., Ord, J. K., and Snyder, R. D · 2008
Cited alongside, same era.
Approximate bayesian inference for latent Gaussian models by using integrated nested Laplace approximations
Rue, H., Martino, S., and Chopin, N · 2009
Cited alongside, same era.
Sharing features among dynamical systems with beta processes
Fox, E., Sudderth, E., Jordan, M. I., and Willsky, A. S · 2010
Cited alongside, same era.
Hierarchical Bayesian nonparametric models with applications
Teh, Y. W. and Jordan, M. I · 2010
Cited alongside, same era.
On the demand distributions of spare parts
Syntetos, A A, Babai, M Z, and Altay, N · 2012
Later among the works it cites.
Integrated non-factorized variational inference
Han, S., Liao, X., and Carin, L · 2013
Later among the works it cites.
The no-U-turn sampler: Adaptively setting path lengths in Hamiltonian Monte Carlo
Hoffman, M. D. and Gelman, A · 2013
Later among the works it cites.
forecast: Forecasting functions for time series and linear models , 2013
Hyndman, R. J., Athanasopoulos, G., Razbash, S., Schmidt, D., Zhou, Z., and Khan, Y · 2013
Later among the works it cites.
Stan: A C++ library for probability and sampling, 2013
Stan Development Team · 2013
Later among the works it cites.