We compare computational cost and accuracy between two different approaches of dispersion analysis. One is the conventional Monte Carlo method and the other being the Perron-Frobenius operator approach, that directly propagates the joint probability density function using Liouville equation. It is shown that with same computational budget, Perron-Frobenius operator approach rewards better accur...

Monte-Carlo tree search (MCTS) has been drawing great interest in recent years for planning under uncertainty. One of the key challenges is the tradeoff between exploration and exploitation. To address this, we introduce a novel online planning algorithm for large POMDPs using Thompson sampling based MCTS that balances between cumulative and simple regrets. The proposed algorithm — Dirichlet-Di...

This paper introduces a new BRDF sampling method with reduced variance, which is based on a hierarchical adaptive parameterless PDF. This PDF is based also on rejection sampling with a bounded average number of trials, even in regions where the BRDF does exhibit high variations. Our algorithm works in an appropiate way with both physical and analytical reflectance models. Reflected directions a...

We present in this paper a method originally proposed by Williams and Jacobs to determine the shape of illusory contours. The theory on stochastic completion fields is based on the assumption that the prior probability distribution of completion shapes can be modelled by the random walks of particles. Two different algorithms to compute completion fields are presented. The first is based on the...

Los contagios en enfermedades infecciosas y los que provocan las crisis financieras son muy similares. En el presente trabajo se utiliza conceptos e ideas de pandemias salud para modelar como primeras pueden originar a segundas fue caso del COVID-19 ano.  Con un modelo determinista uno  simulacion Montecarlo propone explicar la transmision pandemia financiera.  El comportamiento grafico es simi...

A bstract An updated analysis of New Physics violating Lepton Flavour Universality, by using the Standard Model Effective Field Lagrangian with semileptonic dimension six operators at Λ = 1 TeV is presented. We perform a global fit, discussing relevance mixing in first generation. use for time this context Montecarlo to extract confidence intervals and correlations between observables. Our resu...

This work investigates the application of photon mapping to model environmental acoustics. The resulting acoustic sonel mapping technique is a MonteCarlo based approach that can be used to model acoustic environments while accounting for diffuse and specular acoustic reflections as well as diffraction effects. This modeling is performed in an efficient manner in contrast to available determinis...

The last decade has seen the emergence of a wide range of automated calculations for supersymmetric extensions of the Standard Model. This guide contains a brief summary of these, with the main focus on hadron collider phenomenology, as well as a brief introduction to the so-called SUSY Les Houches Accord. See also the Les Houches Web Repository for BSM Tools: http://www.ippp.dur.ac.uk/montecar...

Abstract I propose a solution to content removal bias in statistics from web scraped data. Content occurs when data is removed the before scraper able collect it. The based on inverse probability weights, derived parameters of survival function with complex forms censoring. apply this calculation proportion newly built dwellings Luxembourg, and run counterfactual experiment Montecarlo simulatio...