Log Predictive Density
Log Predictive Density is the logarithm of the predictive density evaluated at observed data points, serving as a measure of a model’s out-of-sample predictive accuracy by quantifying the probability density assigned to the actual data under the model’s posterior predictive distribution.
25
Publications
752
Citations
47
Authors
51
Institutions
Publications per year
2017–2026
6
Parents
25
Components of bull and bear markets: bull corrections and bear rallies
2010 · 70 citations
Kai Christoffel, Günter Coenen, Anders Warne · SSRN Electronic Journal · 2010 · 53 citations · Full text
1–5 of 25
47
Rutgers, The State University of New Jersey, United States
4 publications · 203 citations
4
h-index
3
h-index
Rutgers, The State University of New Jersey, United States
2 publications · 27 citations
2
h-index
2
h-index
1
h-index
1–5 of 47
51
Rutgers, The State University of New Jersey
New Brunswick, United States
5 h-index
5 publications
196 citations

Uppsala University
Uppsala, Sweden
2 h-index
2 publications
29 citations
Centre de Recherche en Économie et Statistique
Palaiseau, France
2 h-index
2 publications
65 citations

Université de Sherbrooke
Sherbrooke, Canada
2 h-index
3 publications
39 citations

University of Toronto
Toronto, Canada
2 h-index
2 publications
83 citations

McMaster University
Hamilton, Canada
2 h-index
2 publications
39 citations
Queen Mary University of London
London, United Kingdom
2 h-index
2 publications
151 citations

University of Pretoria
Pretoria, South Africa
1 h-index
1 publications
25 citations
1–8 of 51
Repository · 4 publications · 142 citations
4
h-index
2 publications · 47 citations
2
h-index
2 publications · 28 citations
2
h-index
2 publications · 127 citations
2
h-index
2 publications · 28 citations
2
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1–5