Zobrazeno 1 - 10
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pro vyhledávání: '"Moustakides, George V."'
Autor:
Moustakides, George V.
When the underlying conditional density is known, conditional expectations can be computed analytically or numerically. When, however, such knowledge is not available and instead we are given a collection of training data, the goal of this work is to
Externí odkaz:
http://arxiv.org/abs/2407.13189
In the problem of quickest change detection, a change occurs at some unknown time in the distribution of a sequence of random vectors that are monitored in real time, and the goal is to detect this change as quickly as possible subject to a certain f
Externí odkaz:
http://arxiv.org/abs/2310.17223
The Secretary problem is a classical sequential decision-making question that can be succinctly described as follows: a set of rank-ordered applicants are interviewed sequentially for a single position. Once an applicant is interviewed, an immediate
Externí odkaz:
http://arxiv.org/abs/2303.02361
We study the parametric online changepoint detection problem, where the underlying distribution of the streaming data changes from a known distribution to an alternative that is of a known parametric form but with unknown parameters. We propose a joi
Externí odkaz:
http://arxiv.org/abs/2206.06777
Autor:
Moustakides, George V.
Optimum parameter estimation methods require knowledge of a parametric probability density that statistically describes the available observations. In this work we examine Bayesian and non-Bayesian parameter estimation problems under a data-driven fo
Externí odkaz:
http://arxiv.org/abs/2201.12539
Publikováno v:
J. Appl. Probab. 61 (2024) 578-602
Candidates arrive sequentially for an interview process which results in them being ranked relative to their predecessors. Based on the ranks available at each time, one must develop a decision mechanism that selects or dismisses the current candidat
Externí odkaz:
http://arxiv.org/abs/2107.07513
We study the secretary problem in which rank-ordered lists are generated by the Mallows model and the goal is to identify the highest-ranked candidate through a sequential interview process which does not allow rejected candidates to be revisited. Th
Externí odkaz:
http://arxiv.org/abs/2101.07250
The problem of sequentially detecting a moving anomaly which affects different parts of a sensor network with time is studied. Each network sensor is characterized by a non-anomalous and anomalous distribution, governing the generation of sensor data
Externí odkaz:
http://arxiv.org/abs/2007.14475
Image quantization is used in several applications aiming in reducing the number of available colors in an image and therefore its size. De-quantization is the task of reversing the quantization effect and recovering the original multi-chromatic leve
Externí odkaz:
http://arxiv.org/abs/2007.07923
When images are statistically described by a generative model we can use this information to develop optimum techniques for various image restoration problems as inpainting, super-resolution, image coloring, generative model inversion, etc. With the
Externí odkaz:
http://arxiv.org/abs/2005.14036