The ARMA alphabet soup: a tour of ARMA model variants
From MaRDI portal
Publication:1950327
DOI10.1214/09-SS060zbMath1274.62594MaRDI QIDQ1950327
Ginger Davis, Scott H. Holan, Robert B. Lund
Publication date: 13 May 2013
Published in: Statistics Surveys (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/euclid.ssu/1291731822
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Economic time series analysis (91B84) Research exposition (monographs, survey articles) pertaining to statistics (62-02)
Related Items
SUPERPOSITIONED STATIONARY COUNT TIME SERIES, Asymptotic Fisher information matrix of Markov switching VARMA models, Bayesian multi-regime smooth transition regression with ordered categorical variables, Seasonal generalized AR models, Portmanteau tests for periodic ARMA models with dependent errors, Estimation of ARMAX processes with noise corrupted output signal observations, Robust modelling of periodic vector autoregressive time series, Moving horizon estimation for ARMAX processes with additive output noise, Distributions for residual autocovariances in parsimonious periodic vector autoregressive models with applications, Explosive strong periodic autoregression with multiplicity one, Estimation methods for stationary Gegenbauer processes
Uses Software
Cites Work
- A Three-Stage Iterative Procedure for Space-Time Modeling
- Analysis of high dimensional multivariate stochastic volatility models
- On continuous-time autoregressive fractionally integrated moving average processes
- Bayesian forecasting and dynamic models.
- Testing for threshold autoregression
- Extreme value theory for moving average processes
- Fractionally integrated generalized autoregressive conditional heteroskedasticity
- Some properties of the parameterization of ARMA systems with unknown order
- Time series: theory and methods.
- Strict stationarity of generalized autoregressive processes
- On periodic and multiple autoregressions
- On continuous-time threshold ARMA processes
- Parameter estimation for infinite variance fractional ARIMA
- Limit theory for bilinear processes with heavy-tailed noise
- State space modeling of long-memory processes
- Least absolute deviation estimation for all-pass time series models
- Fractional ARIMA with stable innovations
- Recursive Prediction and Likelihood Evaluation for Periodic ARMA Models
- Large Sample Properties of Parameter Estimates for Periodic ARMA Models
- Observation-driven models for Poisson counts
- STATIONARY DISCRETE AUTOREGRESSIVE-MOVING AVERAGE TIME SERIES GENERATED BY MIXTURES
- Some efficient computational procedures for high order ARMA models
- On modelling and diagnostic checking of vector periodic autoregressive time series models
- Conditional Heteroskedasticity in Asset Returns: A New Approach
- THE ESTIMATION AND APPLICATION OF LONG MEMORY TIME SERIES MODELS
- Modeling Financial Time Series with S-PLUS®
- Recursive Estimation of GARCH Models
- PARSIMONIOUS PERIODIC TIME SERIES MODELING
- Long‐Memory Time Series
- An integer-valued pth-order autoregressive structure (INAR(p)) process
- A Class of Antipersistent Processes
- Estimation of Long-Memory Time Series Models: a Survey of Different Likelihood-Based Methods
- A NOTE ON INEQUALITY CONSTRAINTS IN THE GARCH MODEL
- Multivariate GARCH Models
- A new look at time series of counts
- Modelling the persistence of conditional variances
- On the general bilinear time series model
- Some ARMA models for dependent sequences of poisson counts
- Bayesian analysis of autoregressive fractionally integrated moving-average processes
- Asymptotic Estimation and Hypothesis Testing Results for Vector Linear Time Series Models
- Maximum Likelihood Fitting of ARMA Models to Time Series with Missing Observations
- Fractional differencing
- Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
- AN INTRODUCTION TO LONG-MEMORY TIME SERIES MODELS AND FRACTIONAL DIFFERENCING
- Calculating the extremal index for a class of stationary sequences
- Moving averages with random coefficients and random coefficient autoregressive models
- Vector linear time series models
- The Identification and Parameterization of Armax and State Space Forms
- Some results in periodic autoregression
- An algorithm for the exact likelihood of a mixed autoregressive-moving average process
- ON GENERALIZED FRACTIONAL PROCESSES
- A k-Factor GARMA Long-memory Model
- On Fractionally Integrated Autoregressive Moving-Average Time Series Models With Conditional Heteroscedasticity
- Time-Series Forecasting
- Introduction to Time Series and Forecasting
- Bayesian Wavelet-Based Methods for the Detection of Multiple Changes of the Long Memory Parameter
- A note on calculating autocovariances of long‐memory processes
- Computation and Characterization of Autocorrelations and Partial Autocorrelations in Periodic ARMA Models
- A long-memory integer-valued time series model, INARFIMA, for financial application
- Efficient Estimation of Seasonal Long‐Range‐Dependent Processes
- Maximum Likelihood Estimation of Linear Continuous Time Long Memory Processes with Discrete Time Data
- Time series with periodic structure
- The estimation of mixed moving average autoregressive systems
- On the Correlation Matrix of the Discrete Fourier Transform and the Fast Solution of Large Toeplitz Systems for Long-Memory Time Series
- On the Statistical Treatment of Linear Stochastic Difference Equations
- Elements of multivariate time series analysis.
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item