We study the problem of estimating the number of independent motions for segmentation based on feature tracking. We elucidate the mathematical structure of the problem and present an estimation method using model selection by the geometric AIC, the geometric MDL, and the OIC. We compare their performance using synthetic and real data. We also present techniques for evaluating the reliability of...

The problem of simultaneous covariate selection and parameter inference for spatial regression models is considered. Previous research has shown that failure to take spatial correlation into account can influence the outcome of standard model selection methods. A Markov chain Monte Carlo (MCMC) method is investigated for the calculation of parameter estimates and posterior model probabilities f...

Research on the semantics of gradable adjectives has, among others, the following two preoccupations: the nature of the degree-comparison relation expressed by the degree morphology (more/-er, less, etc.) and the way in which the standard of comparison is expressed. Here I wish to examine a combination of these two elements that has not, to the best of my knowledge, been described before. In pa...

Eosinophils and basophils have been hypothesized to contribute the allergen-induced late asthmatic response (LAR). Treatment with benralizumab, an anti-IL-5Ra, afucosylated, monoclonal antibody, results in near complete depletion of blood, sputum tissue eosinophils a reduction blood basophils. We that benralizumab would attenuate LAR. 46 mild allergic asthma subjects demonstrating early respons...

The AIC and Cp and their modifications have been proposed for multivariate linear regression models under a large-sample framework when the sample size n is large, but the dimension p is fixed. In this paper, first we propose a high-dimensional AIC (denoted by HAIC) which is approximately unbiased estimator of the risk under a highdimensional framework such that p/n → c ∈ (0, 1). It is noted th...

The data driven Neyman statistic consists of two elements: a score statistic in a finite dimensional submodel and a selection rule to determine the best fitted submodel. For instance, Schwarz BIC and Akaike AIC rules are often applied in such constructions. For moderate sample sizes AIC is sensitive in detecting complex models, while BIC works well for relatively simple structures. When the sam...

Context. For detecting and directly imaging exoplanets, coronagraphic methods are mandatory when the intensity ratio between a star and its orbiting planet can be as large as 106. In 1996, a concept of an achromatic interfero-coronagraph (AIC) was presented for detecting very faint stellar companions, such as exoplanets. Aims. We present a modified version of the AIC not only permitting these f...

Graves disease has a myriad of known symptoms, ranging from typical symptoms —such as anxiety, palpitations, diaphoresis, weight loss, heat intolerance, and muscle weakness—to less common symptoms such as high-output heart failure and cholestasis. A delay in the recognition of the underlying thyroid disease causing these symptoms can result in fatal consequences. We report a 36-year-old patient...