Pages that link to "Item:Q3349821"
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The following pages link to THE INTEGER-VALUED AUTOREGRESSIVE (INAR(p)) MODEL (Q3349821):
Displaying 47 items.
- Integer valued autoregressive processes with generalized discrete Mittag-Leffler marginals (Q5148600) (← links)
- (Q5158712) (← links)
- Imputation-based semiparametric estimation for INAR(1) processes with missing data (Q5163744) (← links)
- EFFICIENT METHOD OF MOMENTS ESTIMATORS FOR INTEGER TIME SERIES MODELS (Q5176860) (← links)
- A Poisson INAR(1) process with a seasonal structure (Q5222339) (← links)
- Tests for time series of counts based on the probability-generating function (Q5263982) (← links)
- A mixed INAR(<i>p</i>) model (Q5397965) (← links)
- First‐order integer valued AR processes with zero inflated poisson innovations (Q5397968) (← links)
- Some recent progress in count time series (Q5402579) (← links)
- A simple integer-valued bilinear time series model (Q5480013) (← links)
- Optimal Alarm Systems for Count Processes (Q5494950) (← links)
- Parameter change test for zero-inflated generalized Poisson autoregressive models (Q5739682) (← links)
- An empirical-likelihood-based structural-change test for INAR processes (Q5887984) (← links)
- Count Time Series: A Methodological Review (Q6044640) (← links)
- Computational efficiency and precision for replicated-count and batch-marked hidden population models (Q6045977) (← links)
- Fluctuations and precise deviations of cumulative INAR time series (Q6048968) (← links)
- A mixed generalized Poisson INAR model with applications (Q6050716) (← links)
- Coherent forecasting for count time series using Box–Jenkins's AR(<i>p</i>) model (Q6063616) (← links)
- Change‐point analysis through integer‐valued autoregressive process with application to some COVID‐19 data (Q6067779) (← links)
- Goodness‐of‐fit tests for Poisson count time series based on the Stein–Chen identity (Q6067780) (← links)
- A nonparametric Bayesian analysis for meningococcal disease counts based on integer-valued threshold time series models (Q6078257) (← links)
- Statistical inference for self-exciting threshold INAR processes with missing values (Q6084121) (← links)
- Two-stage weighted least squares estimator of the conditional mean of observation-driven time series models (Q6090562) (← links)
- Conditional least squares estimation for the SINAR(1, 1) process (Q6116463) (← links)
- Bivariate random coefficient integer‐valued autoregressive models: Parameter estimation and change point test (Q6135375) (← links)
- A multiplicative thinning‐based integer‐valued GARCH model (Q6148341) (← links)
- Locally asymptotically efficient estimation for parametric <i>PINAR</i>(<i>p</i>) models (Q6149011) (← links)
- Two-step conditional least squares estimation in ADCINAR(1) process, revisited (Q6152262) (← links)
- A new INAR model based on Poisson-BE2 innovations (Q6164686) (← links)
- On a periodic negative binomial SETINAR model (Q6171512) (← links)
- On a periodic <i>SETINAR</i> model (Q6171513) (← links)
- Higher autocumulant functions for ADCINAR(1) process and bias-correction of some estimators (Q6176226) (← links)
- On the adaptive Lasso estimator of AR(\(p\)) time series with applications to INAR(\(p\)) and Hawkes processes (Q6541944) (← links)
- On MCMC sampling in random coefficients self-exciting integer-valued threshold autoregressive processes (Q6552940) (← links)
- Random environment integer-valued autoregressive process with discrete Laplace marginal distributions (Q6566803) (← links)
- On strongly dependent zero-inflated INAR(1) processes (Q6579433) (← links)
- Sequential online monitoring for autoregressive time series of counts (Q6581393) (← links)
- A class of \(k\)th-order dependence-driven random coefficient mixed thinning integer-valued autoregressive process to analyse epileptic seizure data and COVID-19 data (Q6581429) (← links)
- Whittle likelihood estimation in INAR(1) process (Q6588654) (← links)
- Grouped network Poisson autoregressive model (Q6593378) (← links)
- Stationary count time series models (Q6602104) (← links)
- A bilinear modeling in counts time series with applications (Q6604196) (← links)
- Untangling serially dependent underreported count data for gender-based violence (Q6628704) (← links)
- A zero-modified geometric INAR(1) model for analyzing count time series with multiple features (Q6632390) (← links)
- Existence of a periodic and seasonal INAR process (Q6636851) (← links)
- Comparison of estimation and prediction methods for a zero-inflated geometric INAR(1) process with random coefficients (Q6643321) (← links)
- A combined integer-valued autoregressive process with actuarial applications (Q6664888) (← links)