Priors for Bayesian adaptive spline smoothing

Xiaofeng Wang,Yuryan Yue,Julian J Faraway, Xiaofeng Wang,Yuryan Yue,Julian J Faraway, Xiaofeng Wang,Yuryan Yue,Julian J Faraway,D Abrams,A Goldman,C Launer,J Korvick,J Neaton,L Crane, M Grodesky,S Wakefield,K Muth, S Kornegay,DL Cohn, A Harris,R Luskin-Hawk,N Markowitz,JH Sampson, M Thompson,L Deyton, RJ Adler, A Agresti, MA Aitkin, B Francis,J Hinde, WE Barlow,RL Prentice,L Bauwens, A Rasquero, Computer Intensive,DF Bell,JL Walker, G O’Connor,R Tibshirani, J Berkson,J Besag, P Green,D Higdon,K Mengersen,J Besag,C Kooperberg,PJ Bickel,KA Doksum,M Blangiardo,M Cameletti,K Bogaerts, E Lesaffre,D Bolin,F Lindgren, T Bralower, P Fullagar, C Paull, G Dwyer, R Leckie,N Breslow, HJ Brockmann, L Brown,T Cai, R Zhang, L Zhao, H Zhou,A Buja,T Hastie,R Tibshirani, JP Buonaccorsi,BP Carlin,TA Louis,RJ Carroll,D Ruppert,RJ Carroll,D Ruppert,LA Stefanski,C Crainiceanu,RJ Carroll,LA Stefanski,K Chaloner, R Brant, S Chatterjee, AS Hadi, P Chaudhuri,JS Marron,F Comte, JR Cook,LA Stefanski,DR Cox,EJ Snell,AC Davison,DV Hinkley, A Dawid,C De Boor,P Dellaportas, D Stephens,FX Diebold, TA Gunther,AS Tay, AJ Dobson, A Barnett,D Draper, JH Dreze, M Mouchart,P Eilers, B Marx, PH Eilers,BD Marx,M Durbán, M Evans, H Moshonov, BS Everitt,L Fahrmeir,T Kneib,L Fahrmeir,L Knorr-Held,L Fahrmeir, S Lang,L Fahrmeir,G Tutz, J Fan,YK Truong,J Faraway, E Ferkingstad,H Rue,SLP Ferrari,F Cribari-Neto,F Ferraty,P Vieu,GM Fitzmaurice,NM Laird, Y Fong,H Rue, J Wakefield,JH Friedman,W Stuetzle, G-A Fuglstad, D Simpson,F Lindgren,H Rue, WA Fuller, S Geisser, WF Eddy,AE Gelfand

Bayesian Regression Modeling with Inla（2018）

引用 14|浏览18

暂无评分

摘要

This chapter covers a mix of topics including splines, functional data, extreme values and density estimation. Being associated with continuous time monitoring processes, functional data are usually smooth curves or surfaces and are often treated as realizations of underlying random functions. The basic philosophy of functional data is to consider the observed curves as single entities, rather than only as a sequence of individual observations. Comprehensive surveys of statistical techniques for analyzing functional data can be found in Ramsay and Silverman and Ferraty and Vieu. Goldsmith study Diffusion Tensor Imaging (DTI) metrics of multiple sclerosis (MS) patients over multiple clinical visits. The data consist of 100 subjects, aged between 21 and 70 years at first visit. The number of visits per subject ranges from 2 to 8, and a total of 340 visits were recorded. Most statistical modeling is concerned with the mean …

查看译文

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要