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Monte Carlo EM with importance reweighting and its applications in random effects models
(ELSEVIER SCIENCE BV, 1999)
In this paper we propose a new Monte Carlo EM algorithm to compute maximum likelihood estimates in the context of random effects models. The algorithm involves the construction of efficient sampling distributions for the ...
Statistical Query Algorithms for Mean Vector Estimation and Stochastic Convex Optimization
(INFORMS, 2021)
Stochastic convex optimization, by which the objective is the expectation of a random convex function, is an important and widely used method with numerous applications in machine learning, statistics, operations research, ...
Collusion and artificial intelligence : a computational experiment with sequential pricing algorithms under stochastic costs
(Universidad de San Andrés. Departamento de Economía, 2021-11)
Firms increasingly delegate their strategic decisions to algorithms. A potential concern
is that algorithms may undermine competition by leading to pricing outcomes that are
collusive, even without having been designed ...
Stochastic transit equilibrium
(PERGAMON-ELSEVIER SCIENCE LTD, 2013)
We present a transit equilibrium model in which boarding decisions are stochastic. The model incorporates congestion, reflected in higher waiting times at bus stops and increasing in-vehicle travel time. The stochastic ...
Stochastic transit equilibrium
(Elsevier, 2013)
We present a transit equilibrium model in which boarding decisions are stochastic. The
model incorporates congestion, reflected in higher waiting times at bus stops and increasing
in-vehicle travel time. The stochastic ...
A simheuristic algorithm for the capacitated location routing problem with stochastic demands
(Journal of Simulation, 2019-10-30)
The capacitated location routing problem (CLRP) integrates a facility location problem with a
multi-depot vehicle routing problem. We consider the CLRP with stochastic demands, whose
specific values are only revealed upon ...
Stochastic Models for Optimizing Availability, Cost and Sustainability of Data Center Power Architectures through Genetic Algorithm
(Instituto de Informática - Universidade Federal do Rio Grande do Sul, 2019)
Short-term hydrothermal generation scheduling using a parallelized stochastic mixed-integer linear programming algorithm
(2016)
Short-term hydrothermal generation scheduling (STHTGS) is the optimization process through which decisions are made about the commitments of thermal generators and the allocation of hydro energy resources in the planning ...