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检索条件"机构=Statistics and Applied Probability Program University of California"
444 条 记 录,以下是11-20 订阅
排序:
QUASI-EVERYWHERE PROPERTIES OF BROWNIAN LEVEL SETS AND MULTIPLE POINTS
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STOCHASTIC PROCESSES AND THEIR APPLICATIONS 1990年 第1期36卷 33-43页
作者: PENROSE, MD Statistics and Applied Probability Program University of California Santa Barbara CA 93106 USA
We show that quasi-every Brownian path in R (with respect to an Ornstein-Uhlenbeck process in the space of paths) has level sets of Hausdorff dimension 1 2 , for all levels, and quasi-every planar Brownian motion has ... 详细信息
来源: 评论
LIMIT DISTRIBUTION OF SPACINGS statistics WHEN THE SAMPLE-SIZE IS RANDOM
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statistics & probability LETTERS 1989年 第5期8卷 451-456页
作者: ARAS, G JAMMALAMADAKA, SR ZHOU, X Statistics and Applied Probability Program University of California Santa Barbara CA 93106 USA
A random sample size version of the central limit theorem is obtained for a general class of symmetric statistics based on uniform spacings. An important application to goodness of fit test for a Poisson process is di... 详细信息
来源: 评论
GraphMinNet: Learning Dependencies in Graphs with Light Complexity Minimal Architecture
arXiv
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arXiv 2025年
作者: Ahamed, Md Atik Cheng, Andrew Ye, Qiang Cheng, Qiang Department of Computer Science University of Kentucky LexingtonKY40506 United States Department of Statistics and Applied Probability University of California Santa BarbaraCA93106 United States Department of Mathematics University of Kentucky LexingtonKY40506 United States Institute for Biomedical Informatics University of Kentucky LexingtonKY40506 United States
Graph Neural Networks (GNNs) have demonstrated remarkable success in various applications, yet they often struggle to capture long-range dependencies (LRD) effectively. This paper introduces GraphMinNet, a novel GNN a... 详细信息
来源: 评论
BAYES AND EMPIRICAL BAYES ESTIMATION OF THE probability THAT Z GREATER-THAN X+Y
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COMMUNICATIONS IN statistics-THEORY AND METHODS 1986年 第10期15卷 3079-3101页
作者: ZALKIKAR, JN TIWARI, RC JAMMALAMADAKA, SR Statistics and Applied Probability Program University of California Santa Barbara CA 93106 United States
Let X, Y and Z be independent random variables with common unknown distribution F. Using the Dirichlet process prior for F and squared erro loss function, the Bayes and empirical Bayes estimators of the parameters λ(... 详细信息
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A MARKOV RENEWAL PROCESS IMBEDDED IN A MARKOV-CHAIN
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STOCHASTIC ANALYSIS AND APPLICATIONS 1989年 第3期7卷 339-353页
作者: TODOROVIC, P GANI, J Statistics and Applied Probability Program University of California Santa Barbara CA 93106 United States
Letbe a Markov chain with state space inR+= (0,∞), an initial distributionμand a transition probabilityQ. For eachx∊R+the support ofis [0,x], which implies that. Setand put. We prove thatis a Markov renewal process ...
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ON AN INTERVAL SPLITTING PROBLEM
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statistics & probability LETTERS 1990年 第4期10卷 321-324页
作者: BRUSS, FT JAMMALAMADAKA, SR ZHOU, X Statistics and Applied Probability Program University of California Santa Barbara CA 93106 USA
Let X 1 , X 2 ,…, be i.i.d. random variables, which are uniformly distributed on [0,1]. Further let I 1 (0) = [0, 1] and let I k ( n ) denote the k th largest interval generated by the points 0, X 1 , X 2 ,…, X n −1... 详细信息
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Remarks on a Monotone Markov Chain
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Journal of applied Mathematics and Simulation 1987年 第2期1卷 137-154页
作者: Todorovic, P. Statistics and Applied Probability Program University of California Santa Barbara
In applications, considerations on stochastic models often involve a Markov chain [formula omitted] with state space in R+, and a transition probability Q. For each x ε R+ the support of Q(x,) is [0, x]. This implies... 详细信息
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Nonparametric Selection of the Smallest-Dispersion Population
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American Journal of Mathematical and Management Sciences 1985年 第3-4期5卷 313-329页
作者: Sobel, Milton Program in Statistics and Applied Probability Department of Mathematics University of California
A nonparametric formulation is set up for selecting the best one of k populations. “Best” is defined as the one with the smallest inter(a,e)-range, a measure of dispersion defined by the difference of the 6th quanti... 详细信息
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Market-based insurance ratemaking: application to pet insurance
arXiv
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arXiv 2025年
作者: Goffard, Pierre-Olivier Piette, Pierrick Peters, Gareth W. Université de Strasbourg Institut de Recherche Mathématique Avancée Strasbourg France Laboratoire SAF EA2429 LyonF-69366 France Hestialytics Paris France University of California Santa Barbara Department of Statistics and Applied Probability Santa BarbaraCA93106-3110 United States
This paper introduces a method for pricing insurance policies using market data. The approach is designed for scenarios in which the insurance company seeks to enter a new market, in our case: pet insurance, lacking h... 详细信息
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ERGODIC PROPERTIES OF RANDOM MEASURES ON STATIONARY-SEQUENCES OF SETS
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STOCHASTIC PROCESSES AND THEIR APPLICATIONS 1993年 第2期46卷 249-265页
作者: GROSS, A ROBERTSON, JB Department of Statistics and Applied Probability University of California Santa Barbara USA
We study a class of stationary sequences having spectral representation (M(tau(n)A))n is-an-element-of z, where A is a set in a measure space (E, E, mu), tau is an invertible measure-preserving transformation on (E, E... 详细信息
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