{ "item_title" : "Parallel Statistical Computing in Theory", "item_author" : [" Guangbao Guo "], "item_description" : "This monograph collects theoretical foundations for parallel statistical computing. It presents classical time-series analysis, a comprehensive toolkit of non-asymptotic concentration inequalities, and the theory behind parallel matrix-completion algorithms. Topics include ARIMA/SARIMA modelling, transfer-function and intervention analysis, entropy and logarithmic Sobolev inequalities, hypercontractivity, as well as ALS, CCD++ and parallel SGD for low-rank matrix recovery. Designed for graduate-level teaching and self-study, it bridges probabilistic theory and large-scale statistical algorithms.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/99/935/673/9999356737_b.jpg", "price_data" : { "retail_price" : "70.00", "online_price" : "70.00", "our_price" : "70.00", "club_price" : "70.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

Overview

Customers Also Bought

Details