Transitional Regression Models, with Application to Environmental Time Series

By Babette A. Brumback, L. Ryan, Jasmine Schwartz, L. Neas, Paul C. Stark, H. Burge. 2000

179 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/b2e173b04cd5b580f2da58a484ebac09ed6c193c

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In Statistics and Probability

Citations in the corpus

Some recent progress in count time series (2011, background): “[22], Fokianos [23], Fahrmeir and Tutz [24], Kedem and Fokianos [3], Davis et al.”
Conditional Poisson models: a flexible alternative to conditional logistic case cross-over analysis (2014, unknown): “Brumback B, Ryan L, Schwartz J, Neas L, Stark P, Burge H: Transitional regression models, with application to environmental time series.”
Interventions in log-linear Poisson autoregression (2012, background): “Log-linear models for time series of counts have been considered by several authors, including Zeger and Qaqish (1988), Li (1994), MacDonald and Zucchini (1997), Brumback et al. (2000), Kedem and Fokianos (2002), Davis et al.”
QUASI‐LIKELIHOOD INFERENCE FOR NEGATIVE BINOMIAL TIME SERIES MODELS (2013, methodology): “Related literature regarding log-linear models for time series of counts include the works by Zeger and Qaqish (1988), Brumback et al. (2000), Fahrmeir and Tutz (2001), Kedem and Fokianos (2002), Davis et al. (2003), Jung et al. (2006) and more recently Fokianos and Tjøstheim (2011), Woodard et al.…”
Count Time Series Models (2012, methodology): “Hence, we resort to log-linear models for count time series; see Zeger and Qaqish (1988), Li (1994), MacDonald and Zucchini (1997), Brumback et al. (2000), Kedem and Fokianos (2002), Benjamin et al. (2003), Davis et al. (2003), Fokianos and Kedem (2004), Jung et al. (2006), Creal et al. (2008) and…”
Generalized Autoregressive Moving Average Models (2003, methodology): “Davis, Dunsmuir, and Wang (1999) and Brumback et al. (2000) considered alternative forms of conditional models. This article extends the work of Zeger and Qaqish (1988) and Li (1994), giving rise to the generalized autoregressive moving average (GARMA) model.”
The effect of weather on respiratory and cardiovascular deaths in 12 U.S. cities. (2002, methodology): “In models with remaining serial correlation from the residuals, we incorporated autoregressive terms (18).”