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Registration for exponential family functional data. [PDF]
Biometrics, 2019 We introduce a novel method for separating amplitude and phase variability in exponential family functional data. Our method alternates between two steps: the first uses generalized functional principal components analysis to calculate template functions,
Wrobel J +3 more
europepmc +5 more sources
Exponential-Family Random Graph Models for Multi-Layer Networks. [PDF]
Psychometrika, 2020 Multi-layer networks arise when more than one type of relation is observed on a common set of actors. Modeling such networks within the exponential-family random graph (ERG) framework has been previously limited to special cases and, in particular, to ...
Krivitsky PN, Koehly LM, Marcum CS.
europepmc +2 more sources
KFAS: Exponential Family State Space Models in R [PDF]
Journal of Statistical Software, 2017 State space modeling is an efficient and flexible method for statistical inference of a broad class of time series and other data. This paper describes the R package KFAS for state space modeling with the observations from an exponential family, namely ...
Jouni Helske
doaj +2 more sources
FREE EXPONENTIAL FAMILIES AS KERNEL FAMILIES [PDF]
Demonstratio Mathematica, 2009 AbstractFree exponential families have been previously introduced as a special case of ...
Włodzimierz Bryc
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Information-Geometric Approach for a One-Sided Truncated Exponential Family [PDF]
Entropy, 2023 In information geometry, there has been extensive research on the deep connections between differential geometric structures, such as the Fisher metric and the α-connection, and the statistical theory for statistical models satisfying regularity ...
Masaki Yoshioka, Fuyuhiko Tanaka
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hergm: Hierarchical Exponential-Family Random Graph Models
Journal of Statistical Software, 2018 We describe the R package hergm that implements hierarchical exponential-family random graph models with local dependence. Hierarchical exponential-family random graph models with local dependence tend to be superior to conventional exponential-family ...
Michael Schweinberger, Pamela Luna
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Stochastic Ordering of Exponential Family Distributions and Their Mixturesxk [PDF]
, 2009 We investigate stochastic comparisons between exponential family distributions and their mixtures with respect to the usual stochastic order, the hazard rate order, the reversed hazard rate order, and the likelihood ratio order.
Yaming Yu
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Exponential Families with External Parameters
Entropy, 2022 In this paper we introduce a class of statistical models consisting of exponential families depending on additional parameters, called external parameters.
Marco Favretti
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arXiv.orgThe self-attention mechanism is the backbone of the transformer neural network underlying most large language models. It can capture complex word patterns and long-range dependencies in natural language. This paper introduces exponential family attention
Kevin Christian Wibisono, Yixin Wang
semanticscholar +3 more sources
Neural Information Processing Systems, 2016 Word embeddings are a powerful approach for capturing semantic similarity among terms in a vocabulary. In this paper, we develop exponential family embeddings, a class of methods that extends the idea of word embeddings to other types of high-dimensional
Maja R. Rudolph +3 more
semanticscholar +5 more sources