Deprecated: $wgMWOAuthSharedUserIDs=false is deprecated, set $wgMWOAuthSharedUserIDs=true, $wgMWOAuthSharedUserSource='local' instead [Called from MediaWiki\HookContainer\HookContainer::run in /var/www/html/w/includes/HookContainer/HookContainer.php at line 135] in /var/www/html/w/includes/Debug/MWDebug.php on line 372
Normalized least-squares estimation in time-varying ARCH models - MaRDI portal

Normalized least-squares estimation in time-varying ARCH models

From MaRDI portal
Publication:2426622

DOI10.1214/07-AOS510zbMath1133.62071arXiv0804.0737MaRDI QIDQ2426622

Theofanis Sapatinas, Suhasini Subba Rao, Piotr Fryzlewicz

Publication date: 23 April 2008

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/0804.0737



Related Items

Nonparametric regression for locally stationary random fields under stochastic sampling design, Nonparametric estimation of a time-varying GARCH model, A time varying \(\mathrm{GARCH}(p,q)\) model and related statistical inference, Nonparametric regression for locally stationary functional time series, Local polynomial estimations of time-varying coefficients for local stationary diffusion models, Functional weak limit theorem for a local empirical process of non-stationary time series and its application, Long‐term prediction intervals with many covariates, Estimation and prediction of time-varying GARCH models through a state-space representation: a computational approach, Bayesian modelling of time-varying conditional heteroscedasticity, Bayesian time‐varying autoregressive models of COVID‐19 epidemics, Locally Stationary Multiplicative Volatility Modeling, Nonstationary autoregressive conditional duration models, A perturbation analysis of Markov chains models with time-varying parameters, Mixing properties of ARCH and time-varying ARCH processes, Simultaneous quantile inference for non-stationary long-memory time series, BOOTSTRAP-ASSISTED UNIT ROOT TESTING WITH PIECEWISE LOCALLY STATIONARY ERRORS, Adaptive inference for a semiparametric generalized autoregressive conditional heteroskedasticity model, Estimation of semiparametric locally stationary diffusion models, Locally stationary long memory estimation, DETECTING FOR SMOOTH STRUCTURAL CHANGES IN GARCH MODELS, Time-varying NoVaS versus GARCH: point prediction, volatility estimation and prediction intervals, Indirect inference for locally stationary models, Time-varying auto-regressive models for count time-series, Nonparametric regression for locally stationary time series, Local stationarity and time-inhomogeneous Markov chains, Cross validation for locally stationary processes, Thick Pen Transformation for Time Series, Structural Adaptive Smoothing Procedures, Nonparametric comparison of epidemic time trends: the case of COVID-19, Simultaneous inference for time-varying models



Cites Work