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Stability Problems for Stochastic Models: Theory and Applications
| Stability Problems for Stochastic Models: Theory and Applications |
| Autore | Zeifman Alexander |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (370 p.) |
| Soggetto topico |
Mathematics & science
Research & information: general |
| Soggetto non controllato |
approximation accuracy
asymptotic approximations balance equation change of the priority characteristic function citation distribution class Γa(g) conditional central limit theorem conditional law of large numbers continuous-time Markov chains contour integrals convergence rates decomposable semi-regenerative process decrement tables defined contribution pension schemes dispatching distribution function equilibrium transform extreme order statistics filtering given time-discretized observations forward Kolmogorov system fractional laplacian generalized gamma distribution generalized Linnik distribution generalized Mittag-Leffler distribution generalized negative binomial distribution geometric distribution geometric random sum geometrically stable distribution gross premium Hankel contours heavy-tailed distributions heterogeneous servers high-dimensional Hirsch index integral limit theorem integrals and sums Kantorovich distance Laplace distribution limit theorems local limit theorem long-term dependence low sample size lump sum marked Markov arrival process Markov decision process mean number of customers mean-square risk estimate minimax approach monotony in the Zygmund sense multiple power series distribution multiserver system multivariate generalized Mittag-Leffler distribution multivariate Linnik distribution multivariate normal scale mixtures multivariate stable distribution multivariate stable processes non-stationary Markovian queueing model nonlinear filtering problem numerical filtering algorithm pareto mixture distribution pension schemes perfect simulation perturbation bounds phase-type distribution policy-iteration algorithm precipitation premium load priority system probability density function R-weakly one-sided oscillation of the multiple sequence at infinity along the given multiple sequence random sample size random samples random sum rates of convergence Rényi theorem robustness second order expansions self-neglecting function Sibuya distribution slowly varying stability stable approximation stable distribution stable estimation state-dependent observation noise stationary renewal distribution statistical test Stein's method stochastic differential observation system Student's t-distribution Tauberian lemma threshold processing transfer theorem uniform distance zeta-metrics |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Stability Problems for Stochastic Models |
| Record Nr. | UNINA-9910557664703321 |
Zeifman Alexander
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Uncertainty Quantification Techniques in Statistics
| Uncertainty Quantification Techniques in Statistics |
| Autore | Kim Jong-Min |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (128 p.) |
| Soggetto non controllato |
?1 lasso
?2 ridge accuracy adapative lasso adaptive lasso allele read counts AUROC BH-FDR data envelopment analysis elastic net ensembles entropy feature selection gene expression data gene-expression data geometric distribution geometric mean Gompertz distribution group efficiency comparison high-throughput Kullback-Leibler divergence Laplacian matrix lasso LASSO low-coverage MCP mixture model next-generation sequencing probability proportional to size (PPS) sampling randomization device resampling sandwich variance estimator SCAD sea surface temperature semiparametric regression sensitive attribute SIS Skew-Reflected-Gompertz distribution stochastic frontier model Yennum et al.'s model |
| ISBN | 3-03928-547-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404091103321 |
|
Kim Jong-Min
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||