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241
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Mon, 7/29/2019,
2:00 PM -
3:50 PM
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CC-113
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Estimation Challenges and New Approaches — Contributed Papers
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Business and Economic Statistics Section
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Chair(s): Michael William Kotarinos, University of South Florida & Solarbeam Capital LLC
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2:05 PM
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On Post Dimension Reduction Statistical Inference
Kyongwon Kim, The Pennsylvania State University
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2:20 PM
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Randomized Algorithms of Maximum Likelihood Estimation with Spatial Autoregressive Models for Large-Scale Networks
Miaoqi Li, University of Cincinnati; Emily Lei Kang, University of Cincinnati
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2:35 PM
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Forecast Combination Using High-Dimensional Precision Matrix
Tae-Hwy Lee, Univ of California, Riverside; Yi Millie Mao, University of California, Riverside; Aman Ullah, University of California, Riverside
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2:50 PM
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Bayesian Estimation and Testing for Constrained Multivariate Functions
Thomas Shively, Univ of Texas at Austin
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3:05 PM
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Gaussian Process Mixtures for Estimating Heterogeneous Treatment Effects
Abbas Zaidi, Duke University - Statistics
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3:20 PM
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Helping Effects Against the Curse of Dimensionality in Threshold Factor Models for High-Dimensional Matrix Time Series
Xialu Liu, San Diego State University; YI CHEN, Princeton University
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3:35 PM
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A Least Deviation Estimation Approach for Time Series Models
Silvey Shamsi; Mian Adnan, Indiana University
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