Showing 21 - 40 of 3,049

21

Distributed Robust Kalman Filtering with Unknown and Noisy Parameters in Sensor Networks: Distributed robust Kalman filtering with unknown and noisy parameters in sensor networks
Donghua Chen ; Ya Zhang ; Cheng-Lin Liu ; et al.
Discrete Dynamics in Nature and Society, Vol 2018 (2018)

0209 industrial biotechn... 13. Climate action QA1-939 02 engineering and techn... Mathematics Filtering in stochastic...
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22

Forecasting realized volatility: A review: Forecasting realized volatility: a review
Dong Wan Shin
Journal of the Korean Statistical Society. 47:395-404

Applications of statisti... covariance matrix realized variance 05 social sciences long-memory 01 natural sciences
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23

Semiparametric model averaging prediction: a Bayesian approach
Jingli Wang ; Jialiang Li
Australian & New Zealand Journal of Statistics. 60:407-422

Applications of statisti... Markov chain Monte Carlo nonparametric regression spline basis functional prior scleroderma treatment
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24

Mechanism of single variable grey forecasting modelling: Integration of increment and growth rate: Mechanism of single variable grey forecasting modelling: integration of increment and growth rate
Li, Kailing ; Xie, Naiming
Communications in Nonlinear Science and Numerical Simulation. 125:107409

modelling mechanism evolutionary characteris... Control/observation syst... Applications of statisti... control charts growth rate
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25

On coupling particle filter trajectories
Deborshee Sen ; Alexandre H Thiery ; Ajay Jasra
Statistics and Computing. 28:461-475

particle filter FOS: Computer and inform... multi-level Monte Carlo Probability (math.PR) Monte Carlo methods Statistics - Computation
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26

On the CLT for discrete Fourier transforms of functional time series
Cerovecki, Clément ; Hörmann, Siegfried
Journal of Multivariate Analysis. 154:282-295

Stationarity Functional limit theorem... invariance principles Functional time series Central limit theorem Probability (math.PR)
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27

An improved Bernoulli particle filter for single target tracking
Bo Li
Multidimensional Systems and Signal Processing. 29:799-819

Signal theory (character... particle clutter rate 0203 mechanical engineer... track label 0202 electrical engineer...
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28

Kalman Filtering for Discrete Stochastic Systems with Multiplicative Noises and Random Two-Step Sensor Delays: Kalman filtering for discrete stochastic systems with multiplicative noises and random two-step sensor delays
Chen, D ; Yu, Y ; Xu, L ; et al.
Discrete Dynamics in Nature and Society, Vol 2015 (2015)

0209 industrial biotechn... QA1-939 0202 electrical engineer... 14. Life underwater 02 engineering and techn... Mathematics
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29

Dynamic dependence networks: Financial time series forecasting and portfolio decisions: Dynamic dependence networks: financial time series forecasting and portfolio decisions
Zoey Yi Zhao ; Mike West ; Meng Xie
Applied Stochastic Models in Business and Industry. 32:311-332

Applications of statisti... FOS: Computer and inform... 62M10, 62F15, 62P20 dynamic graphical model portfolio optimization 01 natural sciences
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30

A Sparse Signal Reconstruction Algorithm in Wireless Sensor Networks: A sparse signal reconstruction algorithm in wireless sensor networks
Zhi Zhao ; Jiuchao Feng
Mathematical Problems in Engineering. 2016:1-11

Signal theory (character... 0202 electrical engineer... 02 engineering and techn... Inference from stochasti... Filtering in stochastic... 3. Good health
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31

A Bayesian model of microbiome data for simultaneous identification of covariate associations and prediction of phenotypic outcomes
Koslovsky, Matthew D. ; Hoffman, Kristi L. ; Daniel, Carrie R. ; et al.
Ann. Appl. Stat. 14, no. 3 (2020), 1471-1492

FOS: Computer and inform... 2. Zero hunger Measures of association... multivariate count data prediction Bayesian statistics
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32

Prediction against a limited adversary
Bayraktar, Erhan ; Ekren, Ibrahim ; Zhang, Xin

FOS: Computer and inform... Computer Science - Machi... asymptotic expansion Probability (math.PR) Learning and adaptive sy... 01 natural sciences
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33

Revisiting the Canadian Lynx Time Series Analysis Through TARMA Models: Revisiting the Canadian lynx time series analysis through TARMA models
Goracci, G
Statistica, Vol 80, Iss 4, Pp 357-394 (2021)

predator-prey interactio... nonlinear time series Statistics TARMA processes 01 natural sciences HA1-4737
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34

On the consistency of sieve bootstrap prediction intervals for stationary time series
Roman Różański ; Adam Zagdański
Discussiones Mathematicae Probability and Statistics. 24:5

Nonparametric tolerance... Asymptotic properties of... Nonparametric statistica... Inference from stochasti... method of sieves
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35

Exploring data assimilation and forecasting issues for an urban crime model
Lloyd, David ; Santitissadeekorn, N ; Short, MB
European Journal of Applied Mathematics. 27:451-478

Applications of statisti... crime hotspots 11. Sustainability Models of societies, soc... Point processes (e.g., P... maximum likelihood
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36

Bayesian parameter estimation and model selection for strongly nonlinear dynamical systems
Philippe Bisaillon ; Abhijit Sarkar ; Dominique Poirel ; et al.
Nonlinear Dynamics. 82:1061-1080

particle filter Bayesian inference Point estimation Bayesian model selection 02 engineering and techn... 0101 mathematics
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37

Predicting paleoclimate from compositional data using multivariate Gaussian process inverse prediction
Tipton, John R. ; Hooten, Mevin B. ; Nolan, Connor ; et al.
Ann. Appl. Stat. 13, no. 4 (2019), 2363-2388

FOS: Computer and inform... Estimation in multivaria... ecological functional re... Bayesian hierarchical mo... Statistics - Application... 01 natural sciences
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38

Toward a New Model for Probabilistic Household Forecasts: Toward a new model for probabilistic household forecasts
Jiang, L. ; O'Neill, B.C. ; Jiang, L. ; et al.
Internat. Statist. Rev. 72, no. 1 (2004), 51-64

Probabilistic forecast 05 social sciences 1. No poverty 01 natural sciences Inference from stochasti... Economic time series ana...
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39

Improved prediction intervals for stochastic process models
VIDONI, Paolo
Journal of Time Series Analysis. 25:137-154

parametric statistical m... ARCH model conditional approach AR model prediction 0101 mathematics
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40

Parameter estimation in general state-space models using particle methods
Doucet, A ; Tadic, VB
Annals of the Institute of Statistical Mathematics. 55:409-422

nonlinear time series Stochastic approximation optimal filtering Computational problems i... 0202 electrical engineer... 02 engineering and techn...
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