A5063327354- Soil Geostatistics and Mapping
- Bioinformatics and Genomic Networks
- Advanced Statistical Methods and Models
- Parasites and Host Interactions
- Spatial and Panel Data Analysis
- Statistical Methods and Bayesian Inference
- Geochemistry and Geologic Mapping
- Global Maternal and Child Health
- Financial Risk and Volatility Modeling
- Parasite Biology and Host Interactions
- Nuclear Receptors and Signaling
- Hydrology and Watershed Management Studies
- Gene expression and cancer classification
- Point processes and geometric inequalities
- Malaria Research and Control
- Tree-ring climate responses
- Advanced Numerical Analysis Techniques
- Diabetes and associated disorders
- Complex Systems and Time Series Analysis
- Statistical Methods in Clinical Trials
- Bayesian Methods and Mixture Models
- Forest ecology and management
- Geology and Paleoclimatology Research
- Machine Learning in Bioinformatics
- Mosquito-borne diseases and control
University of Plymouth
2005-2023
Lancaster University
1991-1995
Lancaster University Ghana
1994
University of Bath
1989
SUMMARY Conventional geostatistical methodology solves the problem of predicting realized value a linear functional Gaussian spatial stochastic process S(x) based on observations Yi = S(xi) + Zi at sampling locations xi, where are mutually independent, zero-mean random variables. We describe two applications for which distributional assumptions clearly inappropriate. The first concerns assessment residual contamination from nuclear weapons testing South Pacific island, in method generates...
Background Efficient allocation of resources to intervene against malaria requires a detailed understanding the contemporary spatial distribution risk. It is exactly 40 y since last global map endemicity was published. This paper describes generation new world Plasmodium falciparum for year 2007. Methods and Findings A total 8,938 P. parasite rate (PfPR) surveys were identified using variety exhaustive search strategies. Of these, 7,953 passed strict data fidelity tests inclusion into...
Reference 56 [Hay SI, Sinka ME, Tatem AJ, Patil AP, Guerra CA, et al. (2009) Developing global maps of the dominant Anopheles vectors human malaria. PLoS Med. In press.] was erroneously listed as press. It in preparation at time but not published.
SUMMARY Techniques for analysing three-dimensional spatial point patterns are demonstrated on data from a confocal microscope recording the locations of cells in three dimensions. New computational techniques proposed edge corrections and empty space measurement. A novel feature is replication nesting sampling design: multiple were observed each several animals. For this we develop ratio regression approach.
Summary The paper develops a spatial generalized linear mixed model to describe the variation in prevalence of malaria among sample village resident children Gambia. response from each child is binary indicator presence malarial parasites blood sample. includes terms for effects level covariates (age and bed net use), (inclusion or exclusion primary health care system greenness surrounding vegetation as derived satellite information) separate components residual non-spatial extrabinomial...
A Bayesian geostatistical model was developed to predict the intensity of infection with Schistosoma mansoni in East Africa. Epidemiological data from purpose-designed and standardized surveys were available for 31458 schoolchildren (90% aged between 6 16 years) 459 locations across region used combination remote sensing environmental identify factors associated spatial variation patterns. The explicitly takes into account highly aggregated distribution parasite distributions by fitting a...
Summary We consider the problem of semi‐parametric regression modelling when data consist a collection short time series for which measurements within are correlated. The objective is to estimate function form E[Y( t ) | x ] = x'ß+ μ( ), where μ(.) an arbitrary, smooth , and vector explanatory variables may or not vary with t. For non‐parametric part estimation we use kernel estimator fixed bandwidth h. When h chosen without reference give exact expressions bias variance estimators β μ(t)...
Parkinson's disease (PD) and Alzheimer's (AD) are the most common neurodegenerative diseases there is increasing evidence that they share physiological pathological links.Here we have conducted largest network analysis of PD AD based on their gene expressions in blood to date.We identified modules were not preserved between healthy control (HC) networks, important hub genes transcription factors (TFs) these modules.We highlighted module HCs was associated with insulin resistance, HDAC6 as a...
As the population ages, neurodegenerative diseases are becoming more prevalent, making it crucial to comprehend underlying disease mechanisms and identify biomarkers allow for early diagnosis effective screening clinical trials. Thanks advancements in gene expression profiling, is now possible search on an unprecedented scale.Here we applied a selection of five machine learning (ML) approaches blood-based Alzheimer's (AD) Parkinson's (PD) with application multiple feature methods. Based ROC...
Over the past decade, biologists and ecologists rather than geographers have been primarily responsible for developments in spatial analysis geostatistics that are of great potential importance to both biogeography community/landscape ecology. These advances geostatistics, rate change boundary detection their application floristic environmental data at community scale reviewed. Issues scale, autocorrelation terminology introduced. Approaches description pattern plant assemblages data,...
Abstract Cross-validation as a means of choosing the smoothing parameter in spline regression has achieved wide popularity. Its appeal comprises an automatic method based on attractive criterion and along with many other methods it been shown to minimize predictive mean square error asymptotically. However, practice there may be substantial proportion applications where cross-validation style choice lead drastic undersmoothing often far interpolation. Furthermore, because is so appealing...
We introduce a statistical quantity, known as the K function, related to integral of two-point correlation function. It gives us straightforward information about scale where clustering dominates and at which homogeneity is reached. evaluate dimension, D2, local slope log–log plot apply this statistic several stochastic point fields, three numerical simulations describing distribution clusters finally real galaxy redshift surveys. Four different catalogues have been analysed using technique:...
The analysis of sports data, in particular football match outcomes, has always produced an immense interest among the statisticians. In this paper, we adopt generalized Poisson difference distribution (GPDD) to model goal matches. We discuss advantages proposed over (PD) model, which was also used for same purpose. GPDD like PD is based on each game that allows us account correlation without explicitly modelling it. main advantage its flexibility tails by considering shorter as well longer...