output
20142026
most citedConsistent Bayesian Information Criterion Based on a Mixture Prior for Possibly High-Dimensional Multivariate Linear Regression Models

4 citations

7 papers

econ.TH2026

Exact Budget Balance via Payment-Rule Ambiguity: Incentive Preservation, Transfer Capacity, and Participation

Hiroaki Odahara

This paper asks whether the payment side of an incentive-compatible mechanism can be repaired so that every realized settlement balances exactly while the allocation and all report…

econ.TH2026

The Targeted-Loss Exposure Frontier in Auctions

Hiroaki Odahara

Pay-to-bid auctions charge participants before allocation and therefore make losing-side payments vulnerable to seller intervention. This paper introduces targeted-loss exposure, a…

cs.GT2026

Reversing Reserve Logic: Optimal Holdback in Local Allocation under Scalable Entry

Hiroaki Odahara

Scarce opportunities such as concert tickets and accelerator time may be contested by automated participants that can create accounts and sustain commitments beyond the reach of co…

stat.ME2023★ 3 cited

Posterior Robustness with Milder Conditions: Contamination Models Revisited

Yasuyuki Hamura, Kaoru Irie, Shonosuke Sugasawa

Robust Bayesian linear regression is a classical but essential statistical tool. Although novel robustness properties of posterior distributions have been proved recently under a c…

math.ST2022★ 4 cited

Consistent Bayesian Information Criterion Based on a Mixture Prior for Possibly High-Dimensional Multivariate Linear Regression Models

Haruki Kono, Tatsuya Kubokawa

In the problem of selecting variables in a multivariate linear regression model, we derive new Bayesian information criteria based on a prior mixing a smooth distribution and a del…

physics.soc-ph2015

Structure of global buyer-supplier networks and its implications for conflict minerals regulations

Takayuki Mizuno, Takaaki Ohnishi, Tsutomu Watanabe

We investigate the structure of global inter-firm linkages using a dataset that contains information on business partners for about 400,000 firms worldwide, including all the firms…