{ "item_title" : "Statistics and Data Science", "item_author" : [" Hien Nguyen "], "item_description" : "Invited Papers.- Symbolic Formulae for Linear Mixed Models.- code:: proof: Prepare for most weather conditions.- Regularized Estimation and Feature Selection in Mixtures of Gaussian-Gated Experts Models.- Flexible Modelling via Multivariate Skew Distributions.- Estimating occupancy and fitting models with the two-stage approach.- Component elimination strategies for mixtures of multiple scale distributions.- An introduction to approximate Bayesian computation.- Contributing Papers.- Truth, Proof, and Reproducibility: There's no counter-attack for the codeless.- On Adaptive Gauss-Hermite Quadrature for Estimation in GLMM's.- Deep learning with periodic features and applications in particle physics.- Copula Modelling of Nurses' Agitation-Sedation Rating of ICU Patients.- Predicting the whole distribution with methods for depth data analysis demonstrated on a colorectal cancer treatment study.- Resilient and Deep Network for Internet of Things (IoT) Malware Detection.- Prediction of Neurological Deterioration of Patients with Mild Traumatic Brain Injury using Machine Learning.- Spherical data handling and analysis with R package rcosmo.- On the Parameter Estimation in the Schwartz-Smith's Two-Factor Model.- Interval estimators for inequality measures using grouped data.- Exact model averaged tail area confidence intervals.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/81/151/959/9811519595_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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