A Bayesian approach to detecting generalized synchronization
نویسندگان
چکیده
منابع مشابه
Statistical modeling approach for detecting generalized synchronization.
Detecting nonlinear correlations between time series presents a hard problem for data analysis. We present a generative statistical modeling method for detecting nonlinear generalized synchronization. Truncated Volterra series are used to approximate functional interactions. The Volterra kernels are modeled as linear combinations of basis splines, whose coefficients are estimated via l(1) and l...
متن کاملA Bayesian approach to detecting electoral manipulation
“Manipulating Maps and Winning Elections” is a challenging paper to comment upon. In part, this is because it is, in sum, convincing, and in part because it is merely the tip of Professor Johnston’s iceberg: It rests upon (and cites) a score of his previous works, which have been produced over more than twenty-five years of scholarly activity. In particular, this paper brings to bear data from ...
متن کاملDetecting qualitative interaction: a Bayesian approach.
Differences in treatment effects between centers in a multi-center trial may be important. These differences represent treatment by subgroup interaction. Peto defines qualitative interaction (QI) to occur when the simple treatment effect in one subgroup has a different sign than in another subgroup: this interaction is important. Interaction where the treatment effects are of the same sign in a...
متن کاملA Bayesian approach to detecting change points in climatic records
Given distinct climatic periods in the various facets of the Earth’s climate system, many attempts have been made to determine the exact timing of ‘change points’ or regime boundaries. However, identification of change points is not always a simple task. A time series containing N data points has approximately N distinct placements of k change points, rendering brute force enumeration futile as...
متن کاملA BAYESIAN APPROACH TO COMPUTING MISSING REGRESSOR VALUES
In this article, Lindley's measure of average information is used to measure the information contained in incomplete observations on the vector of unknown regression coefficients [9]. This measure of information may be used to compute the missing regressor values.
متن کاملذخیره 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: Frontiers in Neuroscience
سال: 2010
ISSN: 1662-453X
DOI: 10.3389/conf.fnins.2010.13.00035