Search Results - "Stoev, Stilian"
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Inference for Monotone Functions Under Short- and Long-Range Dependence: Confidence Intervals and New Universal Limits
Published in Journal of the American Statistical Association (01-12-2016)“…We introduce new point-wise confidence interval estimates for monotone functions observed with additive, dependent noise. Our methodology applies to both…”
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AMON: An Open Source Architecture for Online Monitoring, Statistical Analysis, and Forensics of Multi-Gigabit Streams
Published in IEEE journal on selected areas in communications (01-06-2016)“…The Internet, as a global system of interconnected networks, carries an extensive array of information resources and services. Key requirements include good…”
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Inference for dynamic and latent variable models via iterated, perturbed Bayes maps
Published in Proceedings of the National Academy of Sciences - PNAS (20-01-2015)“…Iterated filtering algorithms are stochastic optimization procedures for latent variable models that recursively combine parameter perturbations with latent…”
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On the rate of concentration of maxima in Gaussian arrays
Published in Extremes (Boston) (01-03-2021)“…Recently in Gao and Stoev ( 2020 ) it was established that the concentration of maxima phenomenon is the key to solving the exact sparse support recovery…”
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ERGODIC PROPERTIES OF SUM- AND MAX-STABLE STATIONARY RANDOM FIELDS VIA NULL AND POSITIVE GROUP ACTIONS
Published in The Annals of probability (01-01-2013)“…We establish characterization results for the ergodicity of stationary symmetric α-stable (SαS) and α-Fréchet random fields. We show that the result of…”
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On the ergodicity and mixing of max-stable processes
Published in Stochastic processes and their applications (01-09-2008)“…Max-stable processes arise in the limit of component-wise maxima of independent processes, under appropriate centering and normalization. In this paper, we…”
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Conditional sampling for spectrally discrete max-stable random fields
Published in Advances in applied probability (01-06-2011)“…Max-stable random fields play a central role in modeling extreme value phenomena. We obtain an explicit formula for the conditional probability in general…”
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On the structure and representations of max-stable processes
Published in Advances in applied probability (01-09-2010)“…We develop classification results for max-stable processes, based on their spectral representations. The structure of max-linear isometries and minimal…”
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On the association of sum- and max-stable processes
Published in Statistics & probability letters (01-03-2010)“…We address the notion of association of sum- and max-stable processes from the perspective of linear and max-linear isometries. We establish the appealing…”
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Estimating Heavy-Tail Exponents Through Max Self-Similarity
Published in IEEE transactions on information theory (01-03-2011)“…In this paper, a novel approach to the problem of estimating the heavy-tail exponent α >; 0 of a distribution is proposed. It is based on the fact that…”
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How rich is the class of multifractional Brownian motions?
Published in Stochastic processes and their applications (01-02-2006)“…The multifractional Brownian motion (MBM) processes are locally self-similar Gaussian processes. They extend the classical fractional Brownian motion processes…”
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Fast Algorithms for Optimal Link Selection in Large-Scale Network Monitoring
Published in IEEE transactions on signal processing (01-04-2013)“…The robustness and integrity of IP networks require efficient tools for traffic monitoring and analysis, which scale well with traffic volume and network size…”
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13
Extreme value theory with operator norming
Published in Extremes (Boston) (01-12-2013)“…A new approach to extreme value theory is presented for vector data with heavy tails. The tail index is allowed to vary with direction, where the directions…”
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On the estimation of the heavy-tail exponent in time series using the max-spectrum
Published in Applied stochastic models in business and industry (01-05-2010)“…This paper addresses the problem of estimating the tail index α of distributions with heavy, Pareto‐type tails for dependent data, that is of interest in the…”
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Extremal limit theorems for observations separated by random power law waiting times
Published in Journal of statistical planning and inference (01-07-2009)“…This paper develops extreme value theory for random observations separated by random waiting times whose exceedence probability falls off like a power law. In…”
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Stochastic properties of the linear multifractional stable motion
Published in Advances in applied probability (01-12-2004)“…We study a family of locally self-similar stochastic processes Y = {Y(t)} t∈ℝ with α-stable distributions, called linear multifractional stable motions. They…”
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Stochastic integral representations and classification of sum- and max-infinitely divisible processes
Published in Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability (01-02-2016)“…Introduced is the notion of minimality for spectral representations of sum- and max-infinitely divisible processes and it is shown that the minimal spectral…”
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Exchangeable random partitions from max-infinitely-divisible distributions
Published in Statistics & probability letters (01-03-2019)“…The hitting partitions are random partitions that arise from the investigation of so-called hitting scenarios of max-infinitely-divisible…”
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Probabilities of Concurrent Extremes
Published in Journal of the American Statistical Association (02-10-2018)“…The statistical modeling of spatial extremes has been an active area of recent research with a growing domain of applications. Much of the existing…”
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Tangent fields, intrinsic stationarity, and self similarity
Published in Electronic journal of probability (01-01-2022)Get full text
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