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A Nearest Neighbor Bootstrap For Resampling Hydrologic Time Series
A nonparametric method for resampling scalar or vector-valued time series is introduced. Multivariate nearest neighbor probability density estimation provides the basis for the resampling schemeExpand
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Streamflow simulation: A nonparametric approach
In this paper kernel estimates of the joint and conditional probability density functions are used to generate synthetic streamflow sequences. Streamflow is assumed to be a Markov process with timeExpand
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Disaggregation Procedures for Stochastic Hydrology Based on Nonparametric Density Estimation
Synthetic simulation of streamflow sequences is important for the analysis of water supply reliability. Disaggregation models are an important component of the stochastic streamflow generationExpand
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A comparison of three stochastic multi-site precipitation occurrence generators
Summary This paper presents a comparison of three multi-site stochastic weather generators for simulation of point rainfall occurrences at a network of 30 raingauge stations around Sydney, Australia.Expand
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Suppression of Signal Transducer and Activator of Transcription 3 Activation by Butein Inhibits Growth of Human Hepatocellular Carcinoma In Vivo
Purpose: Hepatocellular carcinoma (HCC) is the fifth most common malignancy worldwide and the third cause of global cancer mortality. Increasing evidence suggest that STAT3 is a critical mediator ofExpand
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Rb is critical in a mammalian tissue stem cell population.
The inactivation of the retinoblastoma (Rb) tumor suppressor gene in mice results in ectopic proliferation, apoptosis, and impaired differentiation in extraembryonic, neural, and erythroid lineages,Expand
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A semi-parametric model for stochastic generation of multi-site daily rainfall exhibiting low-frequency variability
Summary A semi-parametric stochastic modeling framework for generation of daily rainfall at multiple locations is presented. The proposed framework represents longer-term variability andExpand
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Conditional resampling of hydrologic time series using multiple predictor variables: A K-nearest neighbour approach
Abstract Unlike parametric alternatives for time series generation, non-parametric approaches generate new values by conditionally resampling past observations using a probability rationale.Expand
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Development and Application of a Multisite Rainfall Stochastic Downscaling Framework for Climate Change Impact Assessment
[1] The coarse resolution of general circulation models (GCMs) necessitates use of downscaling approaches for transfer of GCM output to finer spatial resolutions for climate change impact assessmentExpand
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Cognitive impairment in people diagnosed with end‐stage liver disease evaluated for liver transplantation
Abstract  Cognitive impairments are common in patients with end‐stage liver disease (ESLD). The aim of the present study was to identify and characterize the neuropsychological deficits betweenExpand
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