Financial Data Analytics and Statistical Learning

Recently, there have been significant strides in the application of statistical learning techniques for solving financial, insurance, and various business and economic problems. These techniques, rooted in mathematical foundations and statistical theory and fueled by machine learning algorithms, aim...

תיאור מלא

שמור ב:

מידע ביבליוגרפי
פורמט:	Online
שפה:	אנגלית
יצא לאור:	MDPI - Multidisciplinary Digital Publishing Institute 2024
נושאים:	bivariate copula measures of association dependence modeling Kendall’s τ Blomqvist’s β time series regression distribution volatility goodness-of-fit bayesian estimation EM algorithm Gibbs sampler Mixture model insurance claim data birth and renewal processes loan default non-payments inter-arrival times renewal function over and under dispersion Laplace transform Poisson regression model error in variable naive estimator asymptotic bias asymmetric correlation statistical test copula GARCH dynamic risk in asset pricing exponential stability finance modeling and derivatives fractional calculus fractional Brownian motion large dimensional problems simulation and computation in long short-term memory time delay characteristic function-based estimator estimation fractional moment estimator Hill estimator index parameter trigonometric method of moment estimator wrapped Linnik wrapped stable credit decision determinants of credit qualitative variables financials service sector gender diversity firm performance corporate governance fixed-effects regression two-stage least squares instrumental variable Chow’s test Japan financial data analysis machine learning algorithms loan default assessment classification thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics
גישה מקוונת:	ONIX_20240514_9783725804825_375
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!

תיאור
סיכום:	Recently, there have been significant strides in the application of statistical learning techniques for solving financial, insurance, and various business and economic problems. These techniques, rooted in mathematical foundations and statistical theory and fueled by machine learning algorithms, aim to uncover patterns, relationships, and insights within vast and intricate datasets. In this reprint, we have gathered the latest developments in financial analysis and statistical learning, along with practical applications.

Financial Data Analytics and Statistical Learning

פריטים דומים