Works matching AU ZHONGQUAN TAN
Results: 23
Limit theorems for extremes of strongly dependent cyclo-stationary χ-processes.
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- Extremes, 2013, v. 16, n. 2, p. 241, doi. 10.1007/s10687-013-0170-9
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Some asymptotic results on extremes of incomplete samples.
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- Extremes, 2012, v. 15, n. 3, p. 319, doi. 10.1007/s10687-011-0140-z
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Almost sure convergence of sample range.
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- Extremes, 2007, v. 10, n. 4, p. 225, doi. 10.1007/s10687-007-0042-2
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On the maxima of non stationary random fields subject to missing observations.
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- Communications in Statistics: Theory & Methods, 2024, v. 53, n. 18, p. 6339, doi. 10.1080/03610926.2023.2244098
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On the limit properties of the last exit time and the first crossing point for the stationary dependent chi-sequences.
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- Communications in Statistics: Theory & Methods, 2023, v. 52, n. 4, p. 1237, doi. 10.1080/03610926.2021.1926508
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Almost sure limit theorems for the maxima of stochastic volatility models.
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- Stochastics: An International Journal of Probability & Stochastic Processes, 2021, v. 93, n. 4, p. 513, doi. 10.1080/17442508.2020.1755287
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The dependence of extreme values of discrete and continuous time strongly dependent Gaussian processes.
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- Stochastics: An International Journal of Probability & Stochastic Processes, 2014, v. 86, n. 1, p. 60, doi. 10.1080/17442508.2012.756489
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The Limit Properties of Maxima of Stationary Gaussian Sequences Subject to Random Replacing.
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- Mathematics (2227-7390), 2023, v. 11, n. 14, p. 3155, doi. 10.3390/math11143155
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Limit laws on extremes of nonhomogeneous Gaussian random fields.
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- Journal of Applied Probability, 2017, v. 54, n. 3, p. 811, doi. 10.1017/jpr.2017.36
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ASYMPTOTICS OF MAXIMA OF STRONGLY DEPENDENT GAUSSIAN PROCESSES.
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- Journal of Applied Probability, 2012, v. 49, n. 4, p. 1106, doi. 10.1239/jap/1354716660
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On Piterbarg Max-Discretisation Theorem for Standardised Maximum of Stationary Gaussian Processes.
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- Methodology & Computing in Applied Probability, 2014, v. 16, n. 1, p. 169, doi. 10.1007/s11009-012-9305-8
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Extreme Behavior of Competing Risks with Random Sample Size.
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- Axioms (2075-1680), 2024, v. 13, n. 8, p. 568, doi. 10.3390/axioms13080568
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Almost sure asymptotics for extremes of non-stationary Gaussian random fields.
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- Chinese Annals of Mathematics, 2014, v. 35, n. 1, p. 125, doi. 10.1007/s11401-013-0810-z
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Almost sure central limit theorem for partial sums of Markov chain.
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- Chinese Annals of Mathematics, 2012, v. 33, n. 1, p. 73, doi. 10.1007/s11401-011-0691-y
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ALMOST SURE LIMIT THEOREM OF CONDITIONAL EXTREMES.
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- Pakistan Journal of Statistics, 2010, v. 26, n. 4, p. 649
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On maxima of chi-processes over threshold dependent grids.
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- Statistics, 2016, v. 50, n. 3, p. 579, doi. 10.1080/02331888.2015.1083021
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Piterbarg's max-discretization theorem for stationary vector Gaussian processes observed on different grids.
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- Statistics, 2015, v. 49, n. 2, p. 338, doi. 10.1080/02331888.2014.982653
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Almost sure central limit theorems for the maxima of Gaussian functions.
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- Communications in Statistics: Theory & Methods, 2022, v. 51, n. 20, p. 7136, doi. 10.1080/03610926.2020.1871019
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Almost sure central limit theorem for the location and height of extreme order statistics and high values.
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- Communications in Statistics: Theory & Methods, 2021, v. 50, n. 8, p. 1897, doi. 10.1080/03610926.2019.1656745
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Asymptotics of maxima and sums for a type of strongly dependent isotropic Gaussian random fields.
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- Communications in Statistics: Theory & Methods, 2018, v. 47, n. 20, p. 5013, doi. 10.1080/03610926.2017.1383430
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Extremes Values of Discrete and Continuous Time Strongly Dependent Gaussian Processes.
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- Communications in Statistics: Theory & Methods, 2013, v. 42, n. 13, p. 2451, doi. 10.1080/03610926.2011.611322
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Maxima and sum for discrete and continuous time Gaussian processes.
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- Frontiers of Mathematics in China, 2016, v. 11, n. 1, p. 27, doi. 10.1007/s11464-015-0491-x
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Asymptotics for the Solutions to Defective Renewal Equations.
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- Abstract & Applied Analysis, 2014, p. 1, doi. 10.1155/2014/732735
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