Semimartingales and Their Statistical Inference
Other Available Formats
Overview
Statistical inference carries great significance in model building from both the theoretical and the applications points of view. Its applications to engineering and economic systems, financial economics, and the biological and medical sciences have made statistical inference for stochastic processes a well-recognized and important branch of statistics and probability.
The class of semimartingales includes a large class of stochastic processes, including diffusion type processes, point processes, and diffusion type processes with jumps, widely used for stochastic modeling. Until now, however, researchers have had no single reference that collected the research conducted on the asymptotic theory for semimartingales.
- Asymptotic likelihood theory
- Quasi-likelihood
- Likelihood and efficiency
- Inference for counting processes
- Inference for semimartingale regression models
This item is Non-Returnable
Customers Also Bought
Details
- ISBN-13: 9780367399757
- ISBN-10: 036739975X
- Publisher: CRC Press
- Publish Date: June 2019
- Dimensions: 8.9 x 6 x 1.3 inches
- Shipping Weight: 2.5 pounds
- Page Count: 450
Related Categories
