Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 9 of 9 for “"STOCHASTIC REPRESENTATION"”.
-
Reputation in continuous-time games with multiple commitment types
… for the equilibrium actions. Also, we provide a stochastic representation of the Markov equilibrium payoffs, which is the solution to the PDE. Finally, we show that the equilibrium action of the sufficiently patient large player follows a non-stationary process that is determined by the small …
-
Knowledge discovery for stochastic models of biological systems
… discovery in computational biology from a stochastic perspective. Major bottlenecks in adopting a stochastic representation can be overcome with the use of proper methodologies by integrating statistics and computer science. In particular we focus on parameter inference for stochastic …
-
ΜΙΑ ΠΙΘΑΝΟΘΕΩΡΗΤΙΚΗ ΠΡΟΣΕΓΓΙΣΗ ΤΗΣ ΕΞΙΣΩΣΗΣ MONGE-AMPERE
… CAN BE DIVIDED AS FOLLOWS: A) POSSIBILITY OF STOCHASTIC REPRESENTATION OF THE GENERALISED SOLUTION OF THE REAL MONGE-AMPERE EQUATION MU=F>0 K D, K=Φ ON ΘD, D C IRD OPEN-BOUNDED CONVEX. PARTLY IN PARALLEL TO THE WORK BY B. GAVEAN, WHO TREATED THE COMPLEX CASE, GENERAL RESULTS ARE OBTAINED. …
-
Efficient Unbiased Estimating Equations for Analyzing Structured Correlation Matrices
… familial correlations using a probit model and stochastic representation of the latent variables. We discuss some extensions of our results to nuclear families. Some real life examples are presented to illustrate the estimation methods.</p>
-
Bivariate Doubly Inflated Poisson and Related Regression Models
… moments and conditional distributions and stochastic representation of the BDIP model. Next, we will discuss parameter estimation by the method of moments and maximum likelihood methods and a comparison of the methods via asymptotic relative efficiency calculations. We also discuss the BDIP …
-
Extended Poisson Models for Count Data With Inflated Frequencies
… estimation for grouped and ungrouped data. Using stochastic representation we show how the EM algorithm can be adapted to obtain maximum likelihood estimates of the parameters. We derive the observed information matrix which yields standard errors of the EM estimates using ideas from Louis (1982). …
-
Novel Ansätze for Stochastic Coupled Cluster
… of slightly increased energy errors. Secondly, stochastic versions of the unitary coupled cluster (UCC) method and its disen- tangled variant are developed. These methods are shown to agree with their deterministic counterparts and can be easily extended beyond the single and double excitations …
-
Effective properties of multiphase flow in heterogeneous porous media
… perturbation technique employing a stationary, stochastic representation of the spatial variability of soil properties. A derivation of the system's effective properties - nonwetting phase moisture content, capillary pressure, normalized saturation and permeability - was developed which is not …
-
Statistical Inference and Learning for Stochastic and Partial Differential Equations
… and their application to estimation problems for stochastic and partial differential equations. Through the use of recent statistical and machine learning approaches, we develop general methodologies for the estimation of stochastic and partial differential equation solutions and parameters from …