Results 21 to 30 of about 244,145 (258)

Simple Exponential Family PCA [PDF]

open access: yesIEEE Transactions on Neural Networks and Learning Systems, 2013
Principal component analysis (PCA) is a widely used model for dimensionality reduction. In this paper, we address the problem of determining the intrinsic dimensionality of a general type data population by selecting the number of principal components for a generalized PCA model.
Jun, Li, Dacheng, Tao
openaire   +2 more sources

The Exponential Dispersion Model Generated by the Landau Distribution—A Comprehensive Review and Further Developments

open access: yesMathematics, 2023
The paper comprehensively studies the natural exponential family and its associated exponential dispersion model generated by the Landau distribution. These families exhibit probabilistic and statistical properties and are suitable for modeling skewed ...
Shaul K. Bar-Lev
doaj   +1 more source

Total positivity in exponential families with application to binary variables

open access: yes, 2020
We study exponential families of distributions that are multivariate totally positive of order 2 (MTP2), show that these are convex exponential families, and derive conditions for existence of the MLE.
Lauritzen, Steffen   +2 more
core   +1 more source

Frequency Analysis of Extreme Events Using the Univariate Beta Family Probability Distributions

open access: yesApplied Sciences, 2023
This manuscript presents three families of distributions, namely the Beta, Beta Prime and Beta Exponential families of distributions. From all the distributions of these families, 14 statistical distributions of three, four and five parameters are ...
Cornel Ilinca, Cristian Gabriel Anghel
doaj   +1 more source

Polynomials Related to Harmonic Numbers and Evaluation of Harmonic Number Series I [PDF]

open access: yes, 2010
In this paper we focus on two new families of polynomials which are connected with exponential polynomials and geometric polynomials. We discuss their generalizations and show that these new families of polynomials and their generalizations are useful to
Dil, Ayhan, Kurt, Veli
core   +2 more sources

On the Notion of Reproducibility and Its Full Implementation to Natural Exponential Families

open access: yesMathematics, 2021
Let F=Fθ:θ∈Θ⊂R be a family of probability distributions indexed by a parameter θ and let X1,⋯,Xn be i.i.d. r.v.’s with L(X1)=Fθ∈F. Then, F is said to be reproducible if for all θ∈Θ and n∈N, there exists a sequence (αn)n≥1 and a mapping gn:Θ→Θ,θ⟼gn(θ ...
Shaul K. Bar-Lev
doaj   +1 more source

Pseudo-free families of computational universal algebras

open access: yesJournal of Mathematical Cryptology, 2020
Let Ω be a finite set of finitary operation symbols. We initiate the study of (weakly) pseudo-free families of computational Ω-algebras in arbitrary varieties of Ω-algebras.
Anokhin Mikhail
doaj   +1 more source

Boundary Crossing Probabilities for General Exponential Families [PDF]

open access: yes, 2017
We consider parametric exponential families of dimension $K$ on the real line. We study a variant of \textit{boundary crossing probabilities} coming from the multi-armed bandit literature, in the case when the real-valued distributions form an ...
Maillard, Odalric-Ambrym
core   +3 more sources

Stationary Exponential Families

open access: yesThe Annals of Statistics, 1995
An exponential family for stationary sequences of random vectors in \(\mathbb{R}^ d\) is defined by making use of the Ionesco Tulcea theorem [\textit{C. T. Ionesco Tulcea}, Atti Accad. Naz. Lincei, Rend., Cl. Sci. Fis. Mat. Natur., VIII. S. 7, 208-211 (1950; Zbl 0035.152)].
openaire   +3 more sources

Satisfiability with Exponential Families [PDF]

open access: yes, 2007
Fix a set S ⊆ {0, 1}* of exponential size, e.g. |S ∩ {0, 1}n| ∈ Ω(αn), α > 1. The S-SAT problem asks whether a propositional formula F over variables v1, . . . , vn has a satisfying assignment (v1, . . . , vn) ∈ {0, 1}n ∩ S. Our interest is in determining the complexity of S-SAT.
Scheder, Dominik, Zumstein, Philipp
openaire   +1 more source

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