-
作者：Kraemer, Nicole; Sugiyama, Masashi
作者单位：Leibniz Association; Weierstrass Institute for Applied Analysis & Stochastics; Institute of Science Tokyo; Tokyo Institute of Technology
摘要：The derivation of statistical properties for partial least squares regression can be a challenging task. The reason is that the construction of latent components from the predictor variables also depends on the response variable. While this typically leads to good performance and interpretable models in practice, it makes the statistical analysis more involved. In this work, we study the intrinsic complexity of partial least squares regression. Our contribution is an unbiased estimate of its d...
-
作者：Zhang, Kai; Small, Dylan S.; Lorch, Scott; Srinivas, Sindhu; Rosenbaum, Paul R.
作者单位：University of Pennsylvania; University of Pennsylvania
摘要：During a few years around the turn of the millennium, a series of local hospitals in Philadelphia closed their obstetrics units, with the consequence that many mothers-to-be arrived unexpectedly at the city's large, regional teaching hospitals whose obstetrics units remained open. Nothing comparable happened in other United States cities, where there were only sporadic changes in the availability of obstetrics units. What effect did these closures have on mothers and their newborns? We study t...
-
作者：Greven, Sonja; Dominici, Francesca; Zeger, Scott
作者单位：University of Munich; Harvard University; Johns Hopkins University
摘要：There is substantial observational evidence that long-term exposure to particulate air pollution is associated with premature death in urban populations. Estimates of the magnitude of these effects derive largely from cross-sectional comparisons of adjusted mortality rates among cities with varying pollution levels. Such estimates are potentially confounded by other differences among the populations correlated with air pollution, for example, socioeconomic factors. An alternative approach is t...
-
作者：Antal, Erika; Tille, Yves
作者单位：University of Neuchatel
摘要：In complex designs, classical bootstrap methods result in a biased variance estimator when the sampling design is not taken into account. Resampled units are usually rescaled or weighted in order to achieve unbiasedness in the linear case. In the present article, we propose novel resampling methods that may be directly applied to variance estimation. These methods consist of selecting subsamples under a completely different sampling scheme from that which generated the original sample, which i...
-
作者：Hanlon, Bret; Vidyashankar, Anand N.
作者单位：University of Wisconsin System; University of Wisconsin Madison
摘要：The quantitative polymerase chain reaction (qPCR) is a widely used tool for gene quantitation and has been applied extensively in several scientific areas. The current methods used for analyzing qPCR data fail to account for multiple sources of variability present in the PCR dynamics, leading to biased estimates and incorrect inference. In this article, we introduce a branching process model with random effects to account for within-reaction and between-reaction variability in PCR experiments....
-
作者：Alimadad, Azadeh; Salibian-Barrera, Matias
作者单位：Simon Fraser University; Simon Fraser University; University of British Columbia
摘要：We are interested in a class of unsupervised methods to detect possible disease outbreaks, that is, rapid increases in the number of cases of a particular disease that deviate from the pattern observed in the past. The motivating application for this article deals with detecting outbreaks using generalized additive models (GAMs) to model weekly counts of certain infectious diseases. We can use the distance between the predicted and observed counts for a specific week to determine whether an im...
-
作者：Bergesio, Andrea; Yohai, Victor J.
作者单位：Consejo Nacional de Investigaciones Cientificas y Tecnicas (CONICET); National University of the Littoral; University of Buenos Aires
摘要：We introduce a new class of robust estimators for generalized linear models which is an extension of the class of projection estimators for linear regression. These projection estimators are defined using an initial robust estimator for a generalized linear model with only one unknown parameter. We found a bound for the maximum asymptotic bias of the projection estimator caused by a fraction epsilon of outlier contamination. For small epsilon, this bias is approximately twice the maximum bias ...
-
作者：Jiang, Jiming; Thuan Nguyen; Rao, J. Sunil
作者单位：University of California System; University of California Davis; Oregon Health & Science University; University of Miami
摘要：We derive the best predictive estimator (BPE) of the fixed parameters under two well-known small area models, the Fay-Herriot model and the nested-error regression model. This leads to a new prediction procedure, called observed best prediction (OBP), which is different from the empirical best linear unbiased prediction (EBLUP). We show that BPE is more reasonable than the traditional estimators derived from estimation considerations, such as maximum likelihood (ML) and restricted maximum like...
-
作者：Zantedeschi, Daniel; Damien, Paul; Polson, Nicholas G.
作者单位：University of Texas System; University of Texas Austin; University of Chicago
摘要：Dynamic partition models are used to predict movements in the term structure of interest rates. This allows one to understand historic cycles in the performance of how interest rates behave, and to offer policy makers guidance regarding future expectations on their evolution. Our approach allows for a random number of possible change points in the term structure of interest rates. We use particle learning to learn about the unobserved state variables in a new class of dynamic product partition...
-
作者：Storelvmo, T.; Leirvik, T.
作者单位：Yale University; Universita della Svizzera Italiana
