Mohlo by sa vám tiež páčiť

Viac informácií o knihe Estimation and Testing Under Sparsity

• Parametre knihy
• Anotácia kniha
• Obľúbené z iného súdka

Nákupom získate 137 bodov

Anotácia knihy

Taking the Lasso method as its starting point, this book describes the main ingredients needed to study general loss functions and sparsity-inducing regularizers. It also provides a semi-parametric approach to establishing confidence intervals and tests. Sparsity-inducing methods have proven to be very useful in the analysis of high-dimensional data. Examples include the Lasso and group Lasso methods, and the least squares method with other norm-penalties, such as the nuclear norm. The illustrations provided include generalized linear models, density estimation, matrix completion and sparse principal components. Each chapter ends with a problem section. The book can be used as a textbook for a graduate or PhD course.

Parametre knihy

Zaradenie knihy Knihy po anglicky Mathematics & science Mathematics Probability & statistics

• Celý názov: Estimation and Testing Under Sparsity
• Podnázov: École d'Été de Probabilités de Saint-Flour XLV - 2015
• Autor: Sara van de Geer
• Jazyk: Angličtina
• Väzba: Brožovaná
• Počet strán: 274
• EAN: 9783319327730
• ISBN: 3319327739
• ID: 02961495
• Nakladateľ: Springer International Publishing AG
• Hmotnosť: 436 g
• Rozmery: 234 × 154 × 21 mm
• Dátum vydania: 29. June 2016

Obľúbené z iného súdka

---

---

---