Abstract: Extreme densities for information combining are found for two important channel models: the binary-input symmetric parallel broadcast channel and ...
ISSN Information: Print ISSN: 0018-9448 Electronic ISSN: 1557-9654
Page(s): 1313 - 1325
DOI: 10.1109/TIT.2005.844077
Page(s): 1313 - 1325
DOI: 10.1109/TIT.2005.844077
Abstract—Extreme densities for information combining are found for two important channel models: the binary-input symmetric parallel broadcast channel and ...
Jan 29, 2012 · Extremes of information combining inequalities play an important role in the analysis of sparse-graph codes under message-passing decoding. We ...
Nov 1, 2006 · This tutorial addresses the problem of "information combining" from an information-theory point of view: the decoder combines the mutual ...
We show that parametric inferences made about rare 'extremes' can differ considerably from estimates based on large ensembles. This highlights the importance of ...
Information entropy [12] and model's R 2 can also be used to calculate combination weights. 3. Pooling methods first conduct model selection from all candidate ...
Combining information across all possible conditioning variables allows us to fully describe the extremal dependence structure. We develop a model selection ...
Apr 13, 2022 · We show that combining extreme value theory with a deep learning model ... the information contained in the test set as ground truth.
Information: Environmental Data Science, Volume 1, 2022, e5 DOI: https://doi.org/10.1017/eds.2022.4
Nov 18, 2020 · (2020), which was designed for Gaussian variables, for generalized extreme value (GEV) distributions. We fit nonstationary GEV distributions ...
