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High-Dimensional Binary Variates: Maximum Likelihood Estimation with Nonstationary Covariates and Factors

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inferredcites →https://doi.org/10.1016/j.jeconom.2003.10.022openalex-snapshot
Estimating cross-section common stochastic trends in nonstationary panel data
inferredcites →https://doi.org/10.1016/j.jeconom.2012.01.011openalex-snapshot
Jump-robust volatility estimation using nearest neighbor truncation
inferredcites →https://doi.org/10.1016/j.jeconom.2017.09.002openalex-snapshot
Testing for mutually exciting jumps and financial flights in high frequency data
inferredcites →https://doi.org/10.1016/j.jeconom.2018.09.004openalex-snapshot
Large-Dimensional Factor Modeling Based on High-Frequency Observations
inferredcites →https://doi.org/10.1016/j.jeconom.2020.04.004openalex-snapshot
Nonlinear factor models for network and panel data
inferredcites →https://doi.org/10.1016/j.jeconom.2020.04.010openalex-snapshot
Inferential theory for heterogeneity and cointegration in large panels
inferredcites →https://doi.org/10.1016/j.jeconom.2020.11.002openalex-snapshot
Maximum likelihood estimation and inference for high dimensional generalized factor models with application to factor-augmented regressions
inferredcites →https://doi.org/10.1016/j.jeconom.2020.11.013openalex-snapshot
Bayesian and maximum likelihood analysis of large-scale panel choice models with unobserved heterogeneity
inferredcites →https://doi.org/10.1016/j.jeconom.2023.01.009openalex-snapshot
Binary response models for heterogeneous panel data with interactive fixed effects
inferredcites →https://doi.org/10.1016/j.jeconom.2023.02.015openalex-snapshot
Realized regression with asynchronous and noisy high frequency and high dimensional data
inferredcites →https://doi.org/10.1016/j.jeconom.2023.105577openalex-snapshot
Semi-parametric single-index predictive regression models with cointegrated regressors
inferredcites →https://doi.org/10.1016/j.jeconom.2025.105993openalex-snapshot
Huber Principal Component Analysis for large-dimensional factor models
inferredcites →https://doi.org/10.1016/j.jfineco.2014.10.010openalex-snapshot
A five-factor asset pricing model
inferredcites →https://doi.org/10.1017/s0266466600013189openalex-snapshot
Convergence to Stochastic Integrals for Dependent Heterogeneous Processes
inferredcites →https://doi.org/10.1017/s0266466699153015openalex-snapshot
ASYMPTOTICS FOR NONLINEAR TRANSFORMATIONS OF INTEGRATED TIME SERIES
inferredcites →https://doi.org/10.1080/01621459.2017.1328359openalex-snapshot
A Randomized Sequential Procedure to Determine the Number of Factors
inferredcites →https://doi.org/10.1080/01621459.2022.2128807openalex-snapshot
Inference in Heavy-Tailed Nonstationary Multivariate Time Series
inferredcites →https://doi.org/10.1080/01621459.2024.2346364openalex-snapshot
Testing the Number of Common Factors by Bootstrapped Sample Covariance Matrix in High-Dimensional Factor Models
inferredcites →https://doi.org/10.1080/07350015.2020.1721294openalex-snapshot
Varying-Coefficient Panel Data Models With Nonstationarity and Partially Observed Factor Structure
inferredcites →https://doi.org/10.1080/07350015.2024.2393724openalex-snapshot
Quasi Maximum Likelihood Estimation for Large-Dimensional Matrix Factor Models
inferredcites →https://doi.org/10.1086/260061openalex-snapshot
Risk, Return, and Equilibrium: Empirical Tests
inferredcites →https://doi.org/10.1093/jrsssb/qkad077openalex-snapshot
Two-way dynamic factor models for high-dimensional matrix-valued time series
inferredcites →https://doi.org/10.1111/1468-0262.00157openalex-snapshot
Nonstationary Binary Choice
inferredcites →https://doi.org/10.1111/1468-0262.00180openalex-snapshot
Nonlinear Regressions with Integrated Time Series
inferredcites →https://doi.org/10.1111/1468-0262.00392openalex-snapshot
Inferential Theory for Factor Models of Large Dimensions
inferredcites →https://doi.org/10.1111/biom.13768openalex-snapshot
On Generalized Latent Factor Modeling and Inference for High-Dimensional Binomial Data
inferredcites →https://doi.org/10.1111/j.1540-6261.2011.01695.xopenalex-snapshot
Tails, Fears, and Risk Premia
inferredcites →https://doi.org/10.1111/jofi.12898openalex-snapshot
Understanding Systematic Risk: A High‐Frequency Approach
inferredcites →https://doi.org/10.1111/rssb.12016openalex-snapshot
Large Covariance Estimation by Thresholding Principal Orthogonal Complements
inferredcites →https://doi.org/10.1214/11-aos966openalex-snapshot
Statistical analysis of factor models of high dimension
inferredcites →https://doi.org/10.1214/15-aos1372openalex-snapshot
Estimation for single-index and partially linear single-index integrated models
inferredcites →https://doi.org/10.1214/17-aos1616openalex-snapshot
CLT for largest eigenvalues and unit root testing for high-dimensional nonstationary time series
inferredcites →https://doi.org/10.2139/ssrn.3730468openalex-snapshot
Quantile Factor Models
inferredcites →https://doi.org/10.2139/ssrn.5824105openalex-snapshot
Generalized Principal Component Analysis for Large-dimensional Matrix Factor Model
inferredcites →https://doi.org/10.2307/1912276openalex-snapshot
Funds, Factors, and Diversification in Arbitrage Pricing Models
inferredcites →https://doi.org/10.3386/w15533openalex-snapshot
Jump-Robust Volatility Estimation using Nearest Neighbor Truncation
inferredcites →https://doi.org/10.3982/ecta9240openalex-snapshot
Estimation of Jump Tails
inferredcites →https://doi.org/10.48550/arxiv.2202.06188openalex-snapshot
Testing the number of common factors by bootstrapped sample covariance matrix in high-dimensional factor models
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