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Arms Around Frank Richardson
The impact of traumatic childhood experience reverberates into the grown-up world of Frank, Alice and Henry – children from three families suffering the fall-out from their early life. Frank, a working-class boy abused by his step-father, Alice, physically disabled and frustrated, Henry, the less clever son of wealthy ambitious parents. From a rundown estate in Eastleigh, a small town in Darlington and an affluent Cotswold home, each character grapples with the life fate has handed them. Until by chance they all come together in adulthood, the repercussions are explosive. Spanning 30 years the scope of this novel is ambitious and the writing beautifully honed. Character and sense of place are masterfully achieved.
Highly Structured Stochastic Systems
Through this text, the author aims to make recent developments in the title subject (a modern strategy for the creation of statistical models to solve 'real world' problems) accessible to graduate students and researchers in the field of statistics.
Genesis Brief Sin Factor
Have you ever wondered where sin originated? Was it before earth, on earth, or in heaven? Were there people on earth before Adam called seed mankind? Did you ever wonder where the giants came from? Why did Adam take the forbidden fruit so freely from Eve?
Markov Chain Monte Carlo in Practice
In a family study of breast cancer, epidemiologists in Southern California increase the power for detecting a gene-environment interaction. In Gambia, a study helps a vaccination program reduce the incidence of Hepatitis B carriage. Archaeologists in Austria place a Bronze Age site in its true temporal location on the calendar scale. And in France,
Statistical Analysis for High-Dimensional Data
This book features research contributions from The Abel Symposium on Statistical Analysis for High Dimensional Data, held in Nyvågar, Lofoten, Norway, in May 2014. The focus of the symposium was on statistical and machine learning methodologies specifically developed for inference in “big data” situations, with particular reference to genomic applications. The contributors, who are among the most prominent researchers on the theory of statistics for high dimensional inference, present new theories and methods, as well as challenging applications and computational solutions. Specific themes include, among others, variable selection and screening, penalised regression, sparsity, thresholding, low dimensional structures, computational challenges, non-convex situations, learning graphical models, sparse covariance and precision matrices, semi- and non-parametric formulations, multiple testing, classification, factor models, clustering, and preselection. Highlighting cutting-edge research and casting light on future research directions, the contributions will benefit graduate students and researchers in computational biology, statistics and the machine learning community.
Mama's Shoes
By the time Sylvia Richardson is eighteen, she has buried her parents; given birth to a daughter; and become a widow. It is 1942, and World War II has destroyed Sylvias dream of dancing in red heels through life to the melody of a Hank Snow record. Instead, she is raising her daughter, Sassy, alone in the coal mining town she vowed to leave behind. By 1955, thirteen-year-old Sassy has been brought up on a stiff dose of Mamas lessons on how to be a ladyeven though Mama drinks, smokes, and dates a myriad of men. But everything changes the day a woman accuses Sylvia of trying to steal her husband, forcing Sassy to come to terms with her Mamas harsh teen years. For Sylvia, only the support of ki...
