## SEARCH

#### Country

##### ( see all 93)

- United Kingdom [x] 2205 (%)
- UK 369 (%)
- United States 220 (%)
- Canada 170 (%)
- Australia 113 (%)

#### Institution

##### ( see all 1454)

- University of Manchester 122 (%)
- University of Warwick 91 (%)
- University of Oxford 86 (%)
- University College London 84 (%)
- University of Kent 81 (%)

#### Author

##### ( see all 3747)

- Andrews, D. F. 74 (%)
- Herzberg, A. M. 74 (%)
- Nadarajah, Saralees 74 (%)
- Ramsay, J. O. 44 (%)
- Silverman, B. W. 44 (%)

#### Publication

##### ( see all 202)

- Statistics and Computing 294 (%)
- Annals of the Institute of Statistical Mathematics 98 (%)
- Data 74 (%)
- Methodology and Computing in Applied Probability 66 (%)
- Journal of Classification 63 (%)

#### Subject

##### ( see all 131)

- Statistics [x] 2205 (%)
- Statistics, general 1099 (%)
- Statistical Theory and Methods 726 (%)
- Statistics for Business/Economics/Mathematical Finance/Insurance 535 (%)
- Statistics for Life Sciences, Medicine, Health Sciences 470 (%)

## CURRENTLY DISPLAYING:

Most articles

Fewest articles

Showing 1 to 10 of 2205 matching Articles
Results per page:

## Bayesian model comparison with un-normalised likelihoods

### Statistics and Computing (2017-03-01) 27: 403-422 , March 01, 2017

Models for which the likelihood function can be evaluated only up to a parameter-dependent unknown normalizing constant, such as Markov random field models, are used widely in computer science, statistical physics, spatial statistics, and network analysis. However, Bayesian analysis of these models using standard Monte Carlo methods is not possible due to the intractability of their likelihood functions. Several methods that permit exact, or close to exact, simulation from the posterior distribution have recently been developed. However, estimating the evidence and Bayes’ factors for these models remains challenging in general. This paper describes new random weight importance sampling and sequential Monte Carlo methods for estimating BFs that use simulation to circumvent the evaluation of the intractable likelihood, and compares them to existing methods. In some cases we observe an advantage in the use of *biased* weight estimates. An initial investigation into the theoretical and empirical properties of this class of methods is presented. Some support for the use of biased estimates is presented, but we advocate caution in the use of such estimates.

## Hybrid k-Means: Combining Regression-Wise and Centroid-Based Criteria for QSAR

### Selected Contributions in Data Analysis and Classification (2007-01-01): 225-233 , January 01, 2007

This paper further extends the ‘kernel’-based approach to clustering proposed by E. Diday in early 70s. According to this approach, a cluster’s centroid can be represented by parameters of any analytical model, such as linear regression equation, built over the cluster. We address the problem of producing regression-wise clusters to be separated in the input variable space by building a hybrid clustering criterion that combines the regression-wise clustering criterion with the conventional centroid-based one.

## Gröbner Basis Methods in Mixture Experiments and Generalisations

### Optimum Design 2000 (2001-01-01) 51: 33-44 , January 01, 2001

The theory of mixture designs has a considerable history. We address here the important issue of the analysis of an experiment having in mind the algebraic interpretation of the structural restriction Σ*x*_{i} = 1. We present an approach for rewriting models for mixture experiments, based on constructing homogeneous orthogonal polynomials using Gröbner bases. Examples are given utilising the approach.

## Completing the Ecological Jigsaw

### Modeling Demographic Processes In Marked Populations (2009-01-01) 3: 513-539 , January 01, 2009

A challenge for integrated population methods is to examine the extent to which different surveys that measure different demographic features for a given species are compatible. Do the different pieces of the jigsaw fit together? One convenient way of proceeding is to generate a likelihood for census data using the Kalman filter, which is then suitably combined with other likelihoods that might arise from independent studies of mortality, fecundity, and so forth. The combined likelihood may then be used for inference. Typically the underlying model for the census data is a state-space model, and capture–recapture methods of various kinds are used to construct the additional likelihoods. In this paper we provide a brief review of the approach; we present a new way to start the Kalman filter, designed specifically for ecological processes; we investigate the effect of break-down of the independence assumption; we show how the Kalman filter may be used to incorporate density-dependence, and we consider the effect of introducing heterogeneity in the state-space model.

## Statistics and Measurement in the Earth Sciences

### Statistical Methods for the Earth Scientist (1974-01-01): 1-6 , January 01, 1974

The word statistics was first used in 1770, but with a rather different meaning from that used today. One chapter of Hooper’s *The Elements of Universal Erudition* published in 1770 is entitled ‘Statistics’ and deals with ‘the science that teaches us what is the political arrangement of all the modern States of the known world’ (Yule and Kendall, 1953). In the early decades of the nineteenth century the change to ‘statistics’ representing the characters of a State by numerical methods was taking place. Only by the end of the century were ‘statistics’ the summary figures used to describe and compare the properties of a set of observations. At about this time the theoretical basis of the science of statistics was being laid, and today we find the ideas of statistics on a firm basis and applied to the collection, summary and analysis of all types of data.

## Implied distributions in multiple change point problems

### Statistics and Computing (2012-07-01) 22: 981-993 , July 01, 2012

A method for efficiently calculating exact marginal, conditional and joint distributions for change points defined by general finite state Hidden Markov Models is proposed. The distributions are not subject to any approximation or sampling error once parameters of the model have been estimated. It is shown that, in contrast to sampling methods, very little computation is needed. The method provides probabilities associated with change points within an interval, as well as at specific points.

## Essentials of Statistics for Scientists and Technologists

### Essentials of Statistics for Scientists and Technologists (1966-01-01) , January 01, 1966

## Secondary Sources of Data for Business, Finance and Marketing Students

### Quantitative Analysis and IBM® SPSS® Statistics (2016-01-01): 171-179 , January 01, 2016

The purpose of this chapter is to describe and locate sources of external secondary data that may be of use to students of Finance, Economics, Marketing and general Business. By definition, the discussion cannot be exhaustive.

## An Introduction to Meta-Analysis in R

### Meta-Analysis with R (2015-01-01): 3-17 , January 01, 2015

The world is awash with information. For any question, the briefest of internet searches will throw up a range of frequently contradictory answers. This underlies increasing awareness of the value of systematic evidence synthesis—both qualitative and quantitative—by researchers, policy makers and the broader public. It is reflected in the continuing development of the Cochrane Collaboration (http://www.cochrane.org/), an international collaboration devoted to undertaking, publishing and promoting systematic evidence synthesis [2].

## Adolescent Girls' Use of the Internet for Health Information: Issues Beyond Access

### Journal of Medical Systems (2002-12-01) 26: 545-553 , December 01, 2002

Whilst the “digital divide” in access to Internet technology has rightly concerned commentators on health inequalities, there are issues beyond physical access that must be tackled if adolescents and adults are to optimize the benefits of this developing medium. Emerging themes from an exploratory qualitative study of adolescents' use of the Internet for information about health and medicines describe four major challenges. Access issues persist if there are insufficient school computers that are unable to cope with increasing Web site sophistication. Software on school-based machines preventing exposure to material that is deemed to be unsuitable may also prohibit access to educational sites about sexual health and drug misuse. Strategies to manage the volume of available information are needed. The interplay of active and passive information seeking challenges whether the Internet can be truly useful during acute illnessepisodes. This exploration with future health service users highlights important questions for further study.