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安徽师范大学数学计算机科学学院概率论与数理统计英文课件Chapter1 Random Events and Probability
安徽师范大学数学计算机科学学院 概率论 数理统计 英文课件 Chapter1 Random Events Probability
2019/11/26
安徽师范大学数学计算机科学学院概率论与数理统计英文课件Chapter1 Random Events and Probability。
安徽师范大学概率论与数理统计课件Chapter1 Random Events and Probability
安徽师范大学 概率论 数理统计 课件 Chapter1 Random Events Probability
2017/3/6
安徽师范大学概率论与数理统计课件Chapter1 Random Events and Probability。
Boosting search by rare events
Random search algorithm combination nonequilibrium random random algorithm
2015/8/21
Randomized search algorithms for hard combinatorial problems exhibit a large variability of per- formances. We study the different types of rare events which occur in such out-of-equilibrium stochasti...
“Superparamagnetic limit”: As magnetic devices become smaller
and smaller, the time for thermal activated switching might
become too short (shorter than desired data retention time).
Representations of max-stable processes based on single extreme events
extreme value statistics incremental representation max-stable process mixed moving maxima peaks-over-threshold weak convergence on function space
2012/11/23
This paper provides the basis for new methods of inference for max-stable processes \xi\ on general spaces that admit a certain incremental representation, which, in important cases, has a much simple...
Estimating the historical and future probabilities of large terrorist events
Estimating the historical future probabilities large terrorist events
2012/11/23
Quantities with right-skewed distributions are ubiquitous in complex social systems, including political conflict, economics and social networks, and these systems sometimes produce extremely large ev...
Untypical, rare trajectories of dynamical systems are important: they are often the paths for chemical reactions, the haven of (relative) stability of planetary systems, the rogue waves that are detec...
Perfect Sampling of Markov Chains with Piecewise Homogeneous Events
Markov chains perfect sampling queueing systems
2011/3/2
Perfect sampling is a technique that uses coupling arguments to provide a sample from the stationary distribution of a Markov chain in a nite time without ever computing the distribution.
Predicting Sequences of Progressive Events Times with Time-dependent Covariates
Sequences Progressive Events Times Time-dependent Covariates
2010/12/15
This paper presents an approach to modeling progressive event-history data when the overall objective is prediction based on time-dependent covariates.This approach does not model the hazard function ...
How does the quality of a prediction depend on the magnitude of the events under study?
quality of a prediction magnitude of the events
2009/10/30
We investigate the predictability of extreme events in time series. The focus of this work is to understand, under which circumstances large events are better predictable than smaller events. Therefor...
Analysis of Data from a Series of Events by a Geometric Process Model
Nonhomogeneous poisson process hazard function renewal process geometric process limiting distribution the lindeberg-feller theorem
2007/12/11
Geometric process was first introduced byLam$^{[10,11]}$. A stochastic process $\{X_{i}, \ i = 1, 2,\cdots 0, \{a^{i-1}X_{i}, \ i = 1, 2,\cdots \}$ forms a renewal process.In this paper, the GP is ...