Fields- New Challenges for Big Data in Economics and Finance Conference
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Title: Introduction to Machine Learning, Application to Hawkes Processes
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Title: High-dimensional Bayesian inference using quasi-likelihoods
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Title: Forecasting economic activity in data-rich environment
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Title: Double IV Estimation of Factor Model with Application to Big Data
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Title: Approximate Likelihoods
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Title: Statistical Inference on Manifolds
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Title: What Do Measures of Real-time Corporate Sales Tell us About Earnings Surprises and Post-Announcement Returns?
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Title: Liquidity Risk and Investor Behavior: Issues, Data and Models
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Title: Program Evaluation and Causal Inference with High-Dimensional Data
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Title: The Risk of Machine Learning
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Title: Dynamic Functional Principal Component Analysis: Optimal Dimension Reduction for Functional Time Series
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Title: Validating Market Risk Factors and Forecasting Bond Risk Premia using Innovated Factor Models
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