Search Results for author: Yao Luo

Found 10 papers, 1 papers with code

Deconvolution from two order statistics

no code implementations26 Mar 2024 JoonHwan Cho, Yao Luo, Ruli Xiao

Economic data are often contaminated by measurement errors and truncated by ranking.

Under-Identification of Structural Models Based on Timing and Information Set Assumptions

no code implementations27 Mar 2023 Daniel Ackerberg, Garth Frazer, Kyoo il Kim, Yao Luo, Yingjun Su

We then show that the problem can persist in a broader set of models but disappears in models under stronger timing assumptions.

Order Statistics Approaches to Unobserved Heterogeneity in Auctions

no code implementations7 Oct 2022 Yao Luo, Peijun Sang, Ruli Xiao

We establish nonparametric identification of auction models with continuous and nonseparable unobserved heterogeneity using three consecutive order statistics of bids.

Identification of Auction Models Using Order Statistics

no code implementations25 May 2022 Yao Luo, Ruli Xiao

Auction data often contain information on only the most competitive bids as opposed to all bids.

Penalized Sieve Estimation of Structural Models

no code implementations28 Apr 2022 Yao Luo, Peijun Sang

Estimating structural models is an essential tool for economists.

Nonparametric Identification of First-Price Auction with Unobserved Competition: A Density Discontinuity Framework

no code implementations15 Aug 2019 Emmanuel Guerre, Yao Luo

Our benchmark model assumes an exogenous number of bidders N. We show that, if the bidders observe N, the resulting discontinuities in the winning bid density can be used to identify the distribution of N. The private value distribution can be nonparametrically identified in a second step.

Deep Transfer Across Domains for Face Anti-spoofing

no code implementations17 Jan 2019 Xiaoguang Tu, Hengsheng Zhang, Mei Xie, Yao Luo, Yuefei Zhang, Zheng Ma

We propose a CNN framework using sparsely labeled data from the target domain to learn features that are invariant across domains for face anti-spoofing.

Face Anti-Spoofing Face Recognition

Enhance the Motion Cues for Face Anti-Spoofing using CNN-LSTM Architecture

no code implementations17 Jan 2019 Xiaoguang Tu, Hengsheng Zhang, Mei Xie, Yao Luo, Yuefei Zhang, Zheng Ma

Spatio-temporal information is very important to capture the discriminative cues between genuine and fake faces from video sequences.

Face Anti-Spoofing Motion Magnification

Cannot find the paper you are looking for? You can Submit a new open access paper.