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~person:"Billio, Monica"
~person:"Tobias, Justin L."
~subject:"Regressionsanalyse"
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ECONIS (ZBW)
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An alternate parpameterization for Bayesian nonparametric/semiparametric regression
Tobias, Justin L.
;
Chan, Joshua
-
2019
Persistent link: https://www.econbiz.de/10012244166
Saved in:
2
Bayesian dynamic tensor regression
Billio, Monica
;
Casarin, Roberto
;
Iacopini, Matteo
; …
- In:
Journal of business & economic statistics : JBES ; a …
41
(
2023
)
2
,
pp. 429-439
Persistent link: https://www.econbiz.de/10014448234
Saved in:
3
Bayesian Markov Switching Tensor Regression For Time-Varying Networks
Billio, Monica
-
2018
We propose a new Bayesian Markov switching regression model for multi-dimensional arrays (tensors) of binary time series. We assume a zero-inflated logit dynamics with time-varying parameters and apply it to multi-layer temporal networks. The original contribution is threefold. First, in order...
Persistent link: https://www.econbiz.de/10012917228
Saved in:
4
Bayesian Dynamic Tensor Regression
Billio, Monica
;
Casarin, Roberto
;
Kaufmann, Sylvia
; …
-
2018
combined with
Monte
Carlo Markov Chain (MCMC). We show the efficiency of the MCMC procedure on simulated datasets, with …
Persistent link: https://www.econbiz.de/10014113407
Saved in:
5
Bayesian Nonparametric Sparse Seemingly Unrelated Regression Model (SUR)
Billio, Monica
-
2017
Seemingly unrelated regression (SUR) models are useful in studying the interactions among different variables. In a high dimensional setting or when applied to large panel of time series, these models require a large number of parameters to be estimated and suffer of inferential problems.To...
Persistent link: https://www.econbiz.de/10012968298
Saved in:
6
Bayesian nonparametric sparse seemingly unrelated regression model (SUR)
Billio, Monica
;
Casarin, Roberto
;
Rossini, Luca
-
2016
Persistent link: https://www.econbiz.de/10011629460
Saved in:
7
Topics in identification, limited dependent variables, partial observability, experimentation, and flexible modelling
Jeljazkov, Ivan G.
(
ed.
);
Tobias, Justin L.
(
ed.
)
-
2019
Persistent link: https://www.econbiz.de/10012163554
Saved in:
8
Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and flexible Modeling : Part A
Jeljazkov, Ivan G.
(
ed.
);
Tobias, Justin L.
(
ed.
)
-
2019
-
First edition
Volume 40 in the Advances in Econometrics series features twenty-three chapters that are split thematically into two parts. Part A presents novel contributions to the analysis of time series and panel data with applications in macroeconomics, finance, cognitive science and psychology,...
Persistent link: https://www.econbiz.de/10012121434
Saved in:
9
Topics in identification, limited dependent variables, partial observability, experimentation, and flexible modeling : part B
Jeliazkov, Ivan
(
contributor
);
Tobias, Justin L.
(
contributor
)
-
2019
Persistent link: https://www.econbiz.de/10012133271
Saved in:
10
Semiparametric Bayesian inference in smooth coefficient models
Koop, Gary
(
contributor
);
Tobias, Justin L.
(
contributor
)
-
2003
Persistent link: https://www.econbiz.de/10002457195
Saved in:
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