Rates of convergence for time series regression
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- Type
- article
- Published
- 1978-12-01
- Cited by
- 19
- References
- 6
- OpenAlex
- https://openalex.org/W2317471119
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:123883739
Keywords
Mathematics, Series (stratigraphy), Sequence (biology), Zero (linguistics), Order (exchange)
References
- Maximum likelihood estimation for stochastic processes - a martingale approach
- On the Law of the Iterated Logarithm
- CONSISTENCY OF LEAST SQUARES ESTIMATES IN LINEAR MODELS
- Discrete Parameter Martingales
- Invariance Principles for the Law of the Iterated Logarithm for Martingales and Processes with Stationary Increments
- On Almost Sure Convergence
Cited by
- The determination of the order of an autoregression
- Uniform convergence of sample second moments of families of time series arrays
- Consistent Specification of Cointegrated Autoregressive Moving-Average Systems
- Relations between information criteria for model-structure selection Part 3. Strong consistency of the predictive least squares criterion
- Stochastic approximation with dependent noise
- ASYMPTOTIC BEHAVIOUR OF DISCRETE LINEAR PROCESSES
- Extensions of the Menchoff-Rademacher theorem with applications to ergodic theory
- Time series recursions and stochastic approximation
- REGRESSION, AUTOREGRESSION MODELS
- A law of the iterated logarithm for an estimate of frequency
- Strong Consistency of Least Squares Estimators in Regression with Correlated Disturbances
- Autocorrelation, Autoregression and Autoregressive Approximation
- CONSISTENCY OF THE LSE IN LINEAR REGRESSION WITH STATIONARY NOISE
- Proffessor E. J. Hannnan
- Statistical problems in linear systems
- Publications of E. J. Hannan
- Memorial Article: Edward J. Hannan, 1921–1994
- Asymptotic Stationarity Properties of Out-of-Sample Forecast Errors of Misspecified RegARIMA Models
- CONSISTENCY OF THE LSE IN LINEAR REGRESSION WITH STATIONARY NOISE
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