1 citations · 2 across the 10 of their papers we have counts for
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Dynamical Non-compensatory Multidimensional IRT Model Using Variational Approximation
Hiroshi Tamano, Daichi Mochihashi
Multidimensional item response theory (MIRT) is a statistical test theory that precisely estimates multiple latent skills of learners from the responses in a test. Both compensator…
Contrastive Bayesian Inference for Unnormalized Models
Naruki Sonobe, Shonosuke Sugasawa, Daichi Mochihashi +1
Unnormalized (or energy-based) models provide a flexible framework for capturing the characteristics of data with complex dependency structures. However, the application of standar…
Sequential Adaptive Priors for Orthogonal Functions
Shonosuke Sugasawa, Daichi Mochihashi
We propose a novel class of prior distributions for sequences of orthogonal functions, which are frequently required in various statistical models such as functional principal comp…
Misspecifying non-compensatory as compensatory IRT: analysis of estimated skills and variance
Hiroshi Tamano, Hideitsu Hino, Daichi Mochihashi
Multidimensional item response theory is a statistical test theory used to estimate the latent skills of learners and the difficulty levels of problems based on test results. Both…
Spatially Dependent Indian Buffet Processes
Shonosuke Sugasawa, Daichi Mochihashi
We develop a new stochastic process called spatially dependent Indian buffet processes (sIBP) for binary feature matrices of unbounded columns with spatial correlations between sub…