Statistical Data Fusion for Cross-Tabulation
نویسندگان
چکیده
منابع مشابه
Cool Fusion Statistical Modelling for Data Fusion
ABSTRACT The consequences of the use of probability in modelling under uncertainty are explored, and it is shown how data and parameter independence and likelihood modularity emerge as desirable properties for statistical models. They lead directly to multi-object models which themselves create the association problem. The expectation-maximisation (EM) technique is introduced and then applied t...
متن کاملA statistical framework for genomic data fusion
MOTIVATION During the past decade, the new focus on genomics has highlighted a particular challenge: to integrate the different views of the genome that are provided by various types of experimental data. RESULTS This paper describes a computational framework for integrating and drawing inferences from a collection of genome-wide measurements. Each dataset is represented via a kernel function...
متن کاملCross-Domain Data Fusion
In big data, there are datasets with di erent representations, distributions, and scales in di erent domains. How can we unlock the power of knowledge from multiple disparate, but potentially connected, datasets? Addressing this challenge is of paramount importance in big data research. Integrating heterogeneous datasets is essentially what distinguishes big data from traditional data manipulat...
متن کاملStatistical Analysis Methods for the fMRI Data
Functional magnetic resonance imaging (fMRI) is a safe and non-invasive way to assess brain functions by using signal changes associated with brain activity. The technique has become a ubiquitous tool in basic, clinical and cognitive neuroscience. This method can measure little metabolism changes that occur in active part of the brain. We process the fMRI data to be able to find the parts of br...
متن کاملCross-tabulation with Chi-square Analysis
Cross-tabulation is one of the most useful analytical tools and is a main-stay of the market research industry. One estimate is that single variable frequency analysis and cross-tabulation analysis account for more than 90% of all research analyses. Cross-tabulation analysis, also known as contingency table analysis, is most often used to analyze categorical (nominal measurement scale) data. A ...
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: Journal of Marketing Research
سال: 1997
ISSN: 0022-2437
DOI: 10.2307/3151966