New Goodness-of-Fit Tests for Time Series Models
Fuente:
arXiv
Enregistré dans:
| Auteur principal: | Mahdi, Esam |
|---|---|
| Format: | Preprint |
| Publié: |
2020
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Semiparametric Volatility Model with Varying Frequencies
par: Benito, Jetrei Benedick R., et autres
Publié: (2021)
par: Benito, Jetrei Benedick R., et autres
Publié: (2021)
Sparse and Low-bias Estimation of High Dimensional Vector Autoregressive Models
par: Ruiz, Trevor D., et autres
Publié: (2019)
par: Ruiz, Trevor D., et autres
Publié: (2019)
Bayesian Dynamic Modeling of Realized Volatility in Financial Asset Price Forecasting
par: Woitschig, Patrick, et autres
Publié: (2026)
par: Woitschig, Patrick, et autres
Publié: (2026)
Explainable Prediction of Economic Time Series Using IMFs and Neural Networks
par: Hidalgo, Pablo, et autres
Publié: (2025)
par: Hidalgo, Pablo, et autres
Publié: (2025)
Bayesian Forecast Combination with Predictive Priors via Particle Filtering
par: Luo, Xiaorui, et autres
Publié: (2025)
par: Luo, Xiaorui, et autres
Publié: (2025)
Properties of the reconciled distributions for Gaussian and count forecasts
par: Zambon, Lorenzo, et autres
Publié: (2023)
par: Zambon, Lorenzo, et autres
Publié: (2023)
Double Descent and Benign Overfitting in Macroeconomic Forecasting
par: Carriero, Andrea, et autres
Publié: (2026)
par: Carriero, Andrea, et autres
Publié: (2026)
Stylized facts of the Indian Stock Market
par: Sen, Rituparna, et autres
Publié: (2019)
par: Sen, Rituparna, et autres
Publié: (2019)
Mitigating the choice of the duration in DDMS models through a parametric link
par: Mendes, Fernando Henrique de Paula e Silva, et autres
Publié: (2023)
par: Mendes, Fernando Henrique de Paula e Silva, et autres
Publié: (2023)
On filter-type estimation of discretely sampled cyclic long-memory processes
par: Ayache, Antoine, et autres
Publié: (2024)
par: Ayache, Antoine, et autres
Publié: (2024)
Explainable Machine Learning for Macroeconomic and Financial Nowcasting: A Decision-Grade Framework for Business and Policy
par: Attolico, Luca
Publié: (2025)
par: Attolico, Luca
Publié: (2025)
Inference for Local Projections
par: Inoue, Atsushi, et autres
Publié: (2023)
par: Inoue, Atsushi, et autres
Publié: (2023)
Is Jobless Growth Valid in Turkiye? A Sectoral Analysis of the Relationship between Unemployment and Economic Growth
par: Akusta, Emre
Publié: (2025)
par: Akusta, Emre
Publié: (2025)
Temporal Coverage Bias in Financial Panel Data: A Coverage-Aware Structuring Framework with Evidence from the Dhaka Stock Exchange
par: Muhammad, Tashreef
Publié: (2026)
par: Muhammad, Tashreef
Publié: (2026)
Opening the Black Box: Nowcasting Singapore's GDP Growth and its Explainability
par: Attolico, Luca
Publié: (2025)
par: Attolico, Luca
Publié: (2025)
Nonlinear Dynamic Factor Analysis With a Transformer Network
par: Snellman, Oliver
Publié: (2026)
par: Snellman, Oliver
Publié: (2026)
Bitcoin's Power Law: Weak Structure, Strong Forecasts
par: Baquero, Carlos, et autres
Publié: (2026)
par: Baquero, Carlos, et autres
Publié: (2026)
External Demand, Domestic Monetary Conditions, and Remittance Dynamics in Nepal
par: Malla, Sahaj Raj
Publié: (2026)
par: Malla, Sahaj Raj
Publié: (2026)
Identification in (Endogenously) Nonlinear SVARs Is Easier Than You Think
par: Duffy, James A., et autres
Publié: (2026)
par: Duffy, James A., et autres
Publié: (2026)
Range-Based Volatility Estimators for Monitoring Market Stress: Evidence from Local Food Price Data
par: Andrée, Bo Pieter Johannes
Publié: (2026)
par: Andrée, Bo Pieter Johannes
Publié: (2026)
F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting with Proxy Data
par: Xu, Zexing, et autres
Publié: (2024)
par: Xu, Zexing, et autres
Publié: (2024)
The Aligned Economic Index & The State Switching Model
par: Aarab, Ilias
Publié: (2025)
par: Aarab, Ilias
Publié: (2025)
Switching between states and the COVID-19 turbulence
par: Aarab, Ilias
Publié: (2025)
par: Aarab, Ilias
Publié: (2025)
Can Renewable Energy Mitigate Inflationary Pressures from Energy Imports? Evidence from Turkiye
par: Akusta, Emre
Publié: (2026)
par: Akusta, Emre
Publié: (2026)
Sample Splitting and Assessing Goodness-of-fit of Time Series
par: Davis, Richard A., et autres
Publié: (2024)
par: Davis, Richard A., et autres
Publié: (2024)
The Granger-Johansen representation theorem for integrated time series on Banach space
par: Howlett, Phil, et autres
Publié: (2021)
par: Howlett, Phil, et autres
Publié: (2021)
Common Trends and Long-Run Identification in Nonlinear Structural VARs
par: Duffy, James A., et autres
Publié: (2024)
par: Duffy, James A., et autres
Publié: (2024)
Cointegration with Occasionally Binding Constraints
par: Duffy, James A., et autres
Publié: (2022)
par: Duffy, James A., et autres
Publié: (2022)
Stability of trigonometric approximation in $L^p$ and applications to prediction theory
par: Klotz, Lutz, et autres
Publié: (2021)
par: Klotz, Lutz, et autres
Publié: (2021)
A New Stock Market Valuation Measure with Applications to Retirement Planning
par: Sarantsev, Andrey
Publié: (2019)
par: Sarantsev, Andrey
Publié: (2019)
Inference on Common Trends in a Cointegrated Nonlinear SVAR
par: Duffy, James A., et autres
Publié: (2025)
par: Duffy, James A., et autres
Publié: (2025)
Inference on common trends in functional time series
par: Nielsen, Morten Ørregaard, et autres
Publié: (2023)
par: Nielsen, Morten Ørregaard, et autres
Publié: (2023)
New Methods for Network Count Time Series
par: Liu, Hengxu, et autres
Publié: (2023)
par: Liu, Hengxu, et autres
Publié: (2023)
JFR-rg: A New Macroeconomic Framework for High-Debt, Low-Growth Economies under Financial Repression
par: Wakimoto, Hirofumi
Publié: (2026)
par: Wakimoto, Hirofumi
Publié: (2026)
Forecasting Inflation Based on Hybrid Integration of the Riemann Zeta Function and the FPAS Model (FPAS + $ζ$): Cyclical Flexibility, Socio-Economic Challenges and Shocks, and Comparative Analysis of Models
par: Gondauri, Davit
Publié: (2025)
par: Gondauri, Davit
Publié: (2025)
Bayesian Filtering for Multi-period Mean-Variance Portfolio Selection
par: Sikaria, Shubhangi, et autres
Publié: (2019)
par: Sikaria, Shubhangi, et autres
Publié: (2019)
ASRI: An Aggregated Systemic Risk Index for Cryptocurrency Markets
par: Farzulla, Murad, et autres
Publié: (2026)
par: Farzulla, Murad, et autres
Publié: (2026)
Dynamic Inference in Term Structure Models with Unspanned Latent Risks
par: Dubiel-Teleszynski, Tomasz, et autres
Publié: (2022)
par: Dubiel-Teleszynski, Tomasz, et autres
Publié: (2022)
The Extremity Premium: Sentiment Regimes and Adverse Selection in Cryptocurrency Markets
par: Farzulla, Murad
Publié: (2026)
par: Farzulla, Murad
Publié: (2026)
Predicting Future Change-points in Time Series
par: Choi, Chak Fung, et autres
Publié: (2024)
par: Choi, Chak Fung, et autres
Publié: (2024)
Documents similaires
-
Semiparametric Volatility Model with Varying Frequencies
par: Benito, Jetrei Benedick R., et autres
Publié: (2021) -
Sparse and Low-bias Estimation of High Dimensional Vector Autoregressive Models
par: Ruiz, Trevor D., et autres
Publié: (2019) -
Bayesian Dynamic Modeling of Realized Volatility in Financial Asset Price Forecasting
par: Woitschig, Patrick, et autres
Publié: (2026) -
Explainable Prediction of Economic Time Series Using IMFs and Neural Networks
par: Hidalgo, Pablo, et autres
Publié: (2025) -
Bayesian Forecast Combination with Predictive Priors via Particle Filtering
par: Luo, Xiaorui, et autres
Publié: (2025)