6 papers
Bayesian Singular Value Regularization via a Cumulative Shrinkage Process
Masahiro Tanaka
This study proposes a novel hierarchical prior for inferring possibly low-rank matrices measured with noise. We consider three-component matrix factorization, as in singular value…
On the Likelihood of Local Projection Models
Masahiro Tanaka
A local projection model is defined by a set of linear regressions that account for the associations between exogenous variables and an endogenous variable observed at different ti…
Bayesian Matrix Completion Approach to Causal Inference with Panel Data
Masahiro Tanaka
This study proposes a new Bayesian approach to infer binary treatment effects. The approach treats counterfactual untreated outcomes as missing observations and infers them by comp…
Large angular scale fluctuations of near infrared extragalactic background light based on the IRTS observations
Min Gyu Kim, Hyung Mok Lee, Woong-Seob Jeong +3
We measure the spatial fluctuations of the Near-Infrared Extragalactic Background Light (NIREBL) from 2 to 20 in angular scale at the 1.6 and 2.2 m using dat…
Adaptive MCMC for Generalized Method of Moments with Many Moment Conditions
Masahiro Tanaka
A generalized method of moments (GMM) estimator is unreliable for a large number of moment conditions, that is, it is comparable, or larger than the sample size. While classical GM…
AKARI Far-Infrared All-Sky Survey Maps
Yasuo Doi, Shinya Komugi, Mitsunobu Kawada +13
Far-infrared observations provide crucial data for the investigation and characterisation of the properties of dusty material in the Interstellar Medium (ISM), since most of its en…