Online Selection of Alternating Subsequences from a Random Sample
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Publication:3108479
DOI10.1239/jap/1324046022zbMath1258.90103arXiv1105.1558OpenAlexW2150762106MaRDI QIDQ3108479
Alessandro Arlotto, J. Michael Steele, Lawrence A. Shepp, Robert W. Chen
Publication date: 4 January 2012
Published in: Journal of Applied Probability (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1105.1558
Combinatorial optimization (90C27) Dynamic programming (90C39) Combinatorial probability (60C05) Markov and semi-Markov decision processes (90C40)
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Markov Decision Problems Where Means Bound Variances, Longest Increasing Subsequences of Randomly Chosen Multi-Row Arrays, On-line selection of \(c\)-alternating subsequences from a random sample, Optimal Online Selection of an Alternating Subsequence: A Central Limit Theorem, On the longest \(k\)-alternating subsequence, A Central Limit Theorem for Temporally Nonhomogenous Markov Chains with Applications to Dynamic Programming
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