Search Results - approximate (statistical OR statistics) ((dynamic OR dynamika) OR dynamik) programming algorithm*

A Randomized Exchange Algorithm for Computing Optimal Approximate Designs of Experiments by Harman, Radoslav, Filová, Lenka, Richtárik, Peter

“…We propose a class of subspace ascent methods for computing optimal approximate designs that covers existing algorithms as well as new and more efficient ones…”
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An Approximate Dynamic Programming Algorithm for Large-Scale Fleet Management: A Case Application by Simao, Hugo P, Day, Jeff, George, Abraham P, Gifford, Ted, Nienow, John, Powell, Warren B

“… The goal of the model was not to obtain a better solution but rather to closely match a number of operational statistics…”
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A Bayesian Machine Learning Approach for Optimizing Dynamic Treatment Regimes by Murray, Thomas A., Yuan, Ying, Thall, Peter F.

“… These decisions can be formalized as a dynamic treatment regime. This article describes a new approach for optimizing dynamic treatment regimes, which bridges the gap between Bayesian inference and existing approaches, like Q-learning…”
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Approximate dynamic programming methods in Bayesian preference elicitation by Fisher, William, Zhang, Qiong, Song, Yongjia

“…Bayesian preference elicitation is a statistical framework which can aid in complex decision making processes such as engineering design by offering preference-informed recommendations to a decision maker (DM…”
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New efficient algorithms for multiple change-point detection with reproducing kernels by Celisse, A., Marot, G., Pierre-Jean, M., Rigaill, G.J.

“…Several statistical approaches based on reproducing kernels have been proposed to detect abrupt changes arising in the full distribution of the observations and not only in the mean or variance…”
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New integer optimization models and an approximate dynamic programming algorithm for the lot-sizing and scheduling problem with sequence-dependent setups by Lee, Younsoo, Lee, Kyungsik

“…•An ADP algorithm based on the time-flow model is also proposed.•The proposed algorithm shows computational benefits over the standard MIP solver…”
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Detection of Multiple Structural Breaks in Large Covariance Matrices by Li, Yu-Ning, Li, Degui, Fryzlewicz, Piotr

“…This article studies multiple structural breaks in large contemporaneous covariance matrices of high-dimensional time series satisfying an approximate factor model…”
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Application of quantum approximate optimization algorithm to job shop scheduling problem by Kurowski, Krzysztof, Pecyna, Tomasz, Slysz, Mateusz, Różycki, Rafał, Waligóra, Grzegorz, Wȩglarz, Jan

“…•Demonstrate how to efficiently apply Quantum Approximate Optimization Algorithm (QAOA…”
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Online Smooth Backfitting for Generalized Additive Models by Yang, Ying, Yao, Fang, Zhao, Peng

“… by the dynamic candidate bandwidth method. We investigate the statistical and algorithmic convergences of the proposed method…”
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Integrated neuro-evolution-based computing solver for dynamics of nonlinear corneal shape model numerically by Ahmad, Iftikhar, Raja, Muhammad Asif Zahoor, Ramos, Higinio, Bilal, Muhammad, Shoaib, Muhammad

“…), genetic algorithms (GAs), simulated annealing (SA), active-set technique (AST), interior-point technique, sequential quadratic programming and their hybrid forms based on GA–AST, PS–AST and SA–AST…”
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Metropolis-Hastings via Classification by Kaji, Tetsuya, Ročková, Veronika

“…) estimators which can be plugged into the Metropolis-Hastings algorithm. The resulting Markov chains generate, at a steady state, samples from an approximate posterior whose asymptotic properties we characterize…”
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Bayesian Neural Networks for Selection of Drug Sensitive Genes by Liang, Faming, Li, Qizhai, Zhou, Lei

“…Recent advances in high-throughput biotechnologies have provided an unprecedented opportunity for biomarker discovery, which, from a statistical point of view, can be cast as a variable selection problem…”
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Bayesian Bootstrap Spike-and-Slab LASSO by Nie, Lizhen, Ročková, Veronika

“… Intrigued by the speed of Spike-and-Slab LASSO mode detection, we explore the possibility of sampling from an approximate…”
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Bayesian Regularization for Graphical Models With Unequal Shrinkage by Gan, Lingrui, Narisetty, Naveen N., Liang, Feng

“… For fast and efficient computation, an EM algorithm is proposed to compute the MAP estimator of the precision matrix and (approximate…”
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A dynamic programming algorithm for identification of triplex-forming sequences by Lexa, Matej, Martínek, Tomáš, Burgetová, Ivana, Kopeček, Daniel, Brázdová, Marie

“…: We modified an algorithm for detection of approximate palindromes, so as to account for the special nature of triplex DNA structures…”
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Selecting the Correct Number of Factors in Approximate Factor Models: The Large Panel Case With Group Bridge Estimators by Caner, Mehmet, Han, Xu

“…This article proposes a group bridge estimator to select the correct number of factors in approximate factor models…”
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A Probabilistic Model of Local Sequence Alignment That Simplifies Statistical Significance Estimation by Eddy, Sean R.

“…Sequence database searches require accurate estimation of the statistical significance of scores…”
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On-Policy and Off-Policy Value Iteration Algorithms for Stochastic Zero-Sum Dynamic Games by Guo, Liangyuan, Wang, Bing-Chang, Zhang, Ji-Feng

“…This paper considers the value iteration algorithms of stochastic zero-sum linear quadratic games with unkown dynamics…”
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Approximate dynamic programming algorithms for optimal dosage decisions in controlled ovarian hyperstimulation by He, Miao, Zhao, Lei, Powell, Warren B.

“… ► Design efficient approximate dynamic programming (ADP) solution algorithms. ► Compare ADP policies with the Markov decision processes (MDP) benchmark…”
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An adaptive dynamic programming-based algorithm for infinite-horizon linear quadratic stochastic optimal control problems by Zhang, Heng

“…This paper develops a novel adaptive dynamic programming (ADP)-based model-free policy iteration (PI…”
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