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Shuffle of min’s random variable approximations of bivariate copulas’realization
Copula Shuffle of Min approximation Narrow bounds of copula
2016/1/26
The comonotonicity and countermonotonicity provide intuitive upper and lower depen-dence relationship between random variables. This paper constructs the shuffle of min’s ran-domvariableapproximations...
The Voter Model in a Random Environment in Z^d
voter model random walk random environment duality
2016/1/25
We consider the voter model with flip rates determined by(μ e ,e ∈ E d ), where E d is the set of all non-oriented nearest-neighbour edges in the Euclidean lattice Z d . Suppose that (μ e ,e ∈ E d ) a...
HodgeRank on Random Graphs for Subjective Video Quality Assessment
Video Quality Assessment Paired Comparison HodgeRank Random Graphs Persistence Homology
2016/1/25
This paper introduces a novel framework, HodgeR-ank on Random Graphs (HRRG), based on paired comparison,for subjective video quality assessment. Two types of random graph models are studied, i.e., Erd...
Shuffle of min’s random variable approximations of bivariate copulas’realization
random variable approximations bivariate copulas realization
2016/1/20
The comonotonicity and countermonotonicity provide intuitive upper and lower depen-dence relationship between random variables. This paper constructs the shuffle of min’s ran-domvariableapproximations...
HodgeRank on Random Graphs for Subjective Video Quality Assessment
Video Quality Assessment Paired Comparison HodgeRank Random Graphs Persistence Homology
2016/1/20
This paper introduces a novel framework, HodgeR-ank on Random Graphs (HRRG), based on paired comparison,for subjective video quality assessment. Two types of random graph models are studied, i.e., Erd...
Spatial Panels: Random Components vs. Fixed Effects
Random components Fixed e¤ects Maximum likelihood estimation Pooling
2016/1/19
This paper investigates spatial panel data models with a space-time …lter in disturbances. We consider their estimation by both …xed e¤ects and random e¤ects speci…cations. With a between equation pro...
Saddlepoint Approximation for Moments of Random Variables
Saddlepoint Approximation Higher moments Sums of i.i.d.ran- dom variables
2016/1/19
In this paper we introduce a saddlepoint approximation method for higher-order moments like E(S − a) m+ ,a > 0, where the random variable S in these expectations could be a single random variabl...
Confidence Intervals for Random Forests:The Jackknife and the Infinitesimal Jackknife
bagging jackknife methods Monte Carlo noise variance estimation
2015/8/21
We study the variability of predictions made by bagged learners and random forests, and show how to estimate standard errors for these methods. Our work builds on variance estimates for bagging propos...
The gamma-entropy is a convex function of matrices that is closely related to the Frobenius and spectral (maximum singular value) norms. It comes up in several applications such as central H-infinity ...
Mixing Times for Random Walks on Geometric Random Graphs
Mixing Times Random Walks Geometric Random Graphs
2015/7/10
A geometric random graph, G^d(n,r), is formed as follows: place n nodes uniformly at random onto the surface of the d-dimensional unit torus and connect nodes which are within a distance r of each oth...
Average Case Behavior of Random Search for the Maximum
Average Case Behavior Random Search Maximum
2015/7/8
This paper is a study of the error in approximating the global maximum of a Brownian motion on the unit interval by observing the value at randomly chosen points. One point of view is to look at the e...
Simulating the Maximum of a Random Walk
Random walk Single-server queue Simulation Stationary distribution
2015/7/8
In this paper, we show how to exactly sample from the distribution of the maximum of a random walk with negative drift. We also explore related variance reduction methods.
Estimation of Continuous-time Markov Processes Sampled at Random Time Intervals
Method of moments parameter estimation Markov process
2015/7/6
We introduce a family of generalized-method-of-moments estimators of the parameters of a continuous-time Markov process observed at random time intervals. The results include strong consistency, asymp...
Diffusion Approximations for the Maximum of a Perturbed Random Walk
Perturbed random walk diffusion approximation light-tailed distributi
2015/7/6
Considera random walk S=(Sn:n≥O) that is "perturbed" by a stationary sequence (ξn:n≥O) to produce the process S=(Sn+ξn:n≥O). In this paper, we are concerned with developing limit theorems and approxim...
Tail Asymptotics for the Maximum of Perturbed Random Walk
Perturbed random walk Cramér–Lundberg approximation coupling heavy tails
2015/7/6
Consider a random walk S = (Sn:n≥0) that is “perturbed” by a stationary sequence (ξn:n≥0) to produce the process (Sn+ξn:n≥0). This paper is concerned with computing the distribution of the all-time ma...