Bayesian Detection of Multiple Change Points in a Piecewise Linear Function

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Bayesian Estimation of the Multiple Change Points in Gamma Process Using X-bar chart

The process personnel always seek the opportunity to improve the processes. One of the essential steps for process improvement is to quickly recognize the starting time or the change point of a process disturbance. Different from the traditional normally distributed assumption for a process, this study considers a process which follows a gamma process. In addition, we consider the possibility o...

متن کامل

Bayesian Piecewise Linear Mixed Models With a Random Change Point

BACKGROUND Body mass index (BMI) rebound refers to the beginning of the second rise in BMI during childhood. Accurate estimation of an individual's timing of BMI rebound is important because it is associated with health outcomes in later life. METHODS We estimated BMI trajectories for 6545 children from the Avon Longitudinal Study of Parents and Children. We used a novel Bayesian two-phase pi...

متن کامل

Detecting multiple change points in piecewise constant hazard functions.

The National Cancer Institute (NCI) suggests a sudden reduction in prostate cancer mortality rates, likely due to highly successful treatments and screening methods for early diagnosis. We are interested in understanding the impact of medical breakthroughs, treatments, or interventions, on the survival experience for a population. For this purpose, estimating the underlying hazard function, wit...

متن کامل

Approximating Points by a Piecewise Linear Function: I

We study the problem of approximating a set of weighted planar points by a step function, and the problems of approximating non-weighted and weighted planar points by a (more general) piecewise linear function. We either improve the previously best-known results or give the first-known results for these problems. Our algorithms are based on interesting and nontrivial geometric techniques and da...

متن کامل

Bayesian Identification of Multiple Change Points in Poisson Data

The identification of multiple change point is a problem shared by many subject areas, including disease and criminality mapping, medical diagnosis, industrial control, and finance. An algorithm based on the Product Partition Model (PPM) is developed to solve the multiple change point identification problem in Poisson data sequences. In order to attack the PPM a simple and easy to implement Gib...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Korean Journal of Applied Statistics

سال: 2014

ISSN: 1225-066X

DOI: 10.5351/kjas.2014.27.4.589