Pseudo-variance quasi-maximum likelihood estimation of semi-parametric time series models

Cites Work

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A geometric time series model with inflated-parameter Bernoulli counting series
Estimation and testing linearity for non-linear mixed Poisson autoregressions
Beta autoregressive moving average models
On weak dependence conditions: the case of discrete valued processes
Quasi-maximum-likelihood estimation in conditionally heteroscedastic time series: a stochastic recurrence equations approach
Basic properties of strong mixing conditions. A survey and some open questions
Discrete analogues of self-decomposability and stability
Mixing: Properties and examples
Compound Poisson INAR(1) processes: stochastic properties and testing for overdispersion
Goodness-of-fit testing of a count time series' marginal distribution
An \(\mathrm{INAR}(1)\) process for modeling count time series with equidispersion, underdispersion and overdispersion
Asymptotic accuracy of the saddlepoint approximation for maximum likelihood estimation
Testing the dispersion structure of count time series using Pearson residuals
A note on the stability of multivariate non-linear time series with an application to time series of counts
On a flexible construction of a negative binomial model
Poisson QMLE of count time series models
A geometric time series model with a new dependent Bernoulli counting series
Score statistics for testing serial dependence in count data
A geometric time series model with dependent Bernoulli counting series
QUASI-LIKELIHOOD INFERENCE FOR NEGATIVE BINOMIAL TIME SERIES MODELS
A geometric time-series model with an alternative dependent Bernoulli counting series
Integer-Valued GARCH Process
Pseudo Maximum Likelihood Methods: Theory
Some ARMA models for dependent sequences of poisson counts
Existence and Stochastic Structure of a Non-negative Integer-valued Autoregressive Process
Numerical Optimization
The Multivariate Ginar(p) Process
Autoregressive Conditional Duration: A New Model for Irregularly Spaced Transaction Data
Integer‐Valued Autoregressive Models With Survival Probability Driven By A Stochastic Recurrence Equation
An Introduction to Discrete‐Valued Time Series
FIRST-ORDER INTEGER-VALUED AUTOREGRESSIVE (INAR(1)) PROCESS
A new geometric INAR(1) process based on counting series with deflation or inflation of zeros
The predictive distributions of thinning‐based count processes
Integer-valued autoregressive processes with prespecified marginal and innovation distributions: a novel perspective
GARCH Models
The Lindeberg-Levy Theorem for Martingales
A generalised NGINAR(1) process with inflated‐parameter geometric counting series
Likelihood Estimation for the INAR(p) Model by Saddlepoint Approximation
Saddlepoint Approximations in Statistics
Two-stage weighted least squares estimator of the conditional mean of observation-driven time series models
Beta observation-driven models with exogenous regressors: a joint analysis of realized correlation and leverage effects
Optimal estimating function for weak location‐scale dynamic models

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