Subgeometrically ergodic autoregressions with autoregressive conditional heteroskedasticity
Fuente:
arXiv
Saved in:
| Main Authors: | Meitz, Mika, Saikkonen, Pentti |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Continuity of the Distribution Function of the argmax of a Gaussian Process
by: Cattaneo, Matias D., et al.
Published: (2025)
by: Cattaneo, Matias D., et al.
Published: (2025)
High-Dimensional Canonical Correlation Analysis
by: Bykhovskaya, Anna, et al.
Published: (2023)
by: Bykhovskaya, Anna, et al.
Published: (2023)
Estimating sample paths of Gauss-Markov processes from noisy data
by: Davies, Benjamin
Published: (2024)
by: Davies, Benjamin
Published: (2024)
A remark on moment-dependent phase transitions in high-dimensional Gaussian approximations
by: Kock, Anders Bredahl, et al.
Published: (2023)
by: Kock, Anders Bredahl, et al.
Published: (2023)
Bias correction for quantile regression estimators
by: Franguridi, Grigory, et al.
Published: (2020)
by: Franguridi, Grigory, et al.
Published: (2020)
Bounds on the Distribution of a Sum of Two Random Variables: Revisiting a problem of Kolmogorov with application to Individual Treatment Effects
by: Zhang, Zhehao, et al.
Published: (2024)
by: Zhang, Zhehao, et al.
Published: (2024)
Decoupling and randomization for double-indexed permutation statistics
by: Zou, Mingxuan, et al.
Published: (2026)
by: Zou, Mingxuan, et al.
Published: (2026)
A mixture autoregressive model based on Gaussian and Student's $t$-distributions
by: Virolainen, Savi
Published: (2020)
by: Virolainen, Savi
Published: (2020)
Identification by non-Gaussianity in structural threshold and smooth transition vector autoregressive models
by: Virolainen, Savi
Published: (2024)
by: Virolainen, Savi
Published: (2024)
A Strict Gap Between Relaxed and Partition-Constrained Spectral Compression in a Six-State Lumpable Markov Chain
by: Kiriukhin, Oleg
Published: (2026)
by: Kiriukhin, Oleg
Published: (2026)
Strong Approximations for Empirical Processes Indexed by Lipschitz Functions
by: Cattaneo, Matias D., et al.
Published: (2024)
by: Cattaneo, Matias D., et al.
Published: (2024)
Canonical Correlation Analysis: review
by: Bykhovskaya, Anna, et al.
Published: (2024)
by: Bykhovskaya, Anna, et al.
Published: (2024)
How weak are weak factors? Uniform inference for signal strength in signal plus noise models
by: Bykhovskaya, Anna, et al.
Published: (2025)
by: Bykhovskaya, Anna, et al.
Published: (2025)
Variable-Length Markov Chains on Finite Quivers: Boundary-Window Identifiability, Exact Depth, and Local Rank Comparison
by: Kiriukhin, Oleg
Published: (2026)
by: Kiriukhin, Oleg
Published: (2026)
Entropy-Rate Selection for Partially Observed Processes
by: Kiriukhin, Oleg
Published: (2026)
by: Kiriukhin, Oleg
Published: (2026)
The Markov approximation of the periodic multivariate Poisson autoregression
by: Khabou, Mahmoud, et al.
Published: (2025)
by: Khabou, Mahmoud, et al.
Published: (2025)
Gaussian and Bootstrap Approximation for Matching-based Average Treatment Effect Estimators
by: Shi, Zhaoyang, et al.
Published: (2024)
by: Shi, Zhaoyang, et al.
Published: (2024)
Multi-period static hedging of European options
by: Banerjee, Purba, et al.
Published: (2023)
by: Banerjee, Purba, et al.
Published: (2023)
A Modern Gauss-Markov Theorem? Really?
by: Pötscher, Benedikt M., et al.
Published: (2022)
by: Pötscher, Benedikt M., et al.
Published: (2022)
Fitting an Equation to Data Impartially
by: Tofallis, Chris
Published: (2024)
by: Tofallis, Chris
Published: (2024)
Self-normalized tests for multistep conditional predictive ability
by: Chen, Qitong, et al.
Published: (2026)
by: Chen, Qitong, et al.
Published: (2026)
The exact distribution of the conditional likelihood-ratio test in instrumental variables regression
by: Londschien, Malte
Published: (2025)
by: Londschien, Malte
Published: (2025)
Inference for parameters identified by conditional moment restrictions using a generalized Bierens maximum statistic
by: Chen, Xiaohong, et al.
Published: (2020)
by: Chen, Xiaohong, et al.
Published: (2020)
The causal interpretation of panel vector autoregressions
by: Pala, Raimondo
Published: (2025)
by: Pala, Raimondo
Published: (2025)
The general solution to an autoregressive law of motion
by: Beare, Brendan K., et al.
Published: (2024)
by: Beare, Brendan K., et al.
Published: (2024)
On global identification in structural vector autoregressions
by: Bacchiocchi, Emanuele, et al.
Published: (2021)
by: Bacchiocchi, Emanuele, et al.
Published: (2021)
Minimax asymptotics
by: Meitz, Mika, et al.
Published: (2025)
by: Meitz, Mika, et al.
Published: (2025)
A Consistent ICM-based $χ^2$ Specification Test
by: Jiang, Feiyu, et al.
Published: (2022)
by: Jiang, Feiyu, et al.
Published: (2022)
Encompassing Tests for Nonparametric Regressions
by: Lapenta, Elia, et al.
Published: (2022)
by: Lapenta, Elia, et al.
Published: (2022)
New possibilities in identification of binary choice models with fixed effects
by: Zhu, Yinchu
Published: (2022)
by: Zhu, Yinchu
Published: (2022)
A Bootstrap-Assisted Self-Normalization Approach to Inference in Cointegrating Regressions
by: Reichold, Karsten, et al.
Published: (2022)
by: Reichold, Karsten, et al.
Published: (2022)
Identification and Statistical Decision Theory
by: Manski, Charles F.
Published: (2022)
by: Manski, Charles F.
Published: (2022)
Conditional Likelihood Ratio Test with Many Weak Instruments
by: Ayyar, Sreevidya, et al.
Published: (2022)
by: Ayyar, Sreevidya, et al.
Published: (2022)
Shrinkage Methods for Treatment Choice
by: Ishihara, Takuya, et al.
Published: (2022)
by: Ishihara, Takuya, et al.
Published: (2022)
A Residuals-Based Nonparametric Variance Ratio Test for Cointegration
by: Reichold, Karsten
Published: (2022)
by: Reichold, Karsten
Published: (2022)
Trading-off Bias and Variance When the Size of the Treatment Effect is Bounded
by: de Chaisemartin, Clément
Published: (2021)
by: de Chaisemartin, Clément
Published: (2021)
Normal Approximation in Large Network Models
by: Leung, Michael P., et al.
Published: (2019)
by: Leung, Michael P., et al.
Published: (2019)
A sliced Wasserstein and diffusion approach to random coefficient models
by: Lim, Keunwoo, et al.
Published: (2025)
by: Lim, Keunwoo, et al.
Published: (2025)
Efficient Difference-in-Differences and Event Study Estimators
by: Chen, Xiaohong, et al.
Published: (2025)
by: Chen, Xiaohong, et al.
Published: (2025)
Factor Models of Matrix-Valued Time Series: Nonstationarity and Cointegration
by: Li, Degui, et al.
Published: (2025)
by: Li, Degui, et al.
Published: (2025)
Similar Items
-
Continuity of the Distribution Function of the argmax of a Gaussian Process
by: Cattaneo, Matias D., et al.
Published: (2025) -
High-Dimensional Canonical Correlation Analysis
by: Bykhovskaya, Anna, et al.
Published: (2023) -
Estimating sample paths of Gauss-Markov processes from noisy data
by: Davies, Benjamin
Published: (2024) -
A remark on moment-dependent phase transitions in high-dimensional Gaussian approximations
by: Kock, Anders Bredahl, et al.
Published: (2023) -
Bias correction for quantile regression estimators
by: Franguridi, Grigory, et al.
Published: (2020)