Probabilistic forecasting

T Gneiting, M Katzfuss - Annual Review of Statistics and Its …, 2014 - annualreviews.org
A probabilistic forecast takes the form of a predictive probability distribution over future
quantities or events of interest. Probabilistic forecasting aims to maximize the sharpness of …

Regression analyses of counts and rates: Poisson, overdispersed Poisson, and negative binomial models.

W Gardner, EP Mulvey, EC Shaw - Psychological bulletin, 1995 - psycnet.apa.org
The regression models appropriate for counted data have seen little use in psychology. This
article describes problems that occur when ordinary linear regression is used to analyze …

Beneficial effects of long-term intravenous iron therapy with ferric carboxymaltose in patients with symptomatic heart failure and iron deficiency

P Ponikowski, DJ Van Veldhuisen… - European heart …, 2015 - academic.oup.com
Aim The aim of this study was to evaluate the benefits and safety of long-term iv iron therapy
in iron-deficient patients with heart failure (HF). Methods and results CONFIRM-HF was a …

[图书][B] Dependence modeling with copulas

H Joe - 2014 - books.google.com
Dependence Modeling with Copulas covers the substantial advances that have taken place
in the field during the last 15 years, including vine copula modeling of high-dimensional …

Environmental regulation and innovation in renewable energy technologies: does the policy instrument matter?

E Hille, W Althammer, H Diederich - Technological Forecasting and Social …, 2020 - Elsevier
We examine how different renewable energy support policies affect innovation in solar and
wind power technologies. The analysis uses policy and patent data for a large sample of …

[图书][B] Flexible regression and smoothing: using GAMLSS in R

MD Stasinopoulos, RA Rigby, GZ Heller, V Voudouris… - 2017 - books.google.com
This book is about learning from data using the Generalized Additive Models for Location,
Scale and Shape (GAMLSS). GAMLSS extends the Generalized Linear Models (GLMs) and …

[引用][C] Modeling count data

JM Hilbe - 2014 - books.google.com
This entry-level text offers clear and concise guidelines on how to select, construct, interpret,
and evaluate count data. Written for researchers with little or no background in advanced …

Comparison of an initial risk-based testing strategy vs usual testing in stable symptomatic patients with suspected coronary artery disease: the PRECISE randomized …

PS Douglas, MG Nanna, MD Kelsey, E Yow… - JAMA …, 2023 - jamanetwork.com
Importance Trials showing equivalent or better outcomes with initial evaluation using
coronary computed tomography angiography (cCTA) compared with stress testing in …

[图书][B] Regression analysis of count data

AC Cameron, PK Trivedi - 2013 - books.google.com
" Introduction God made the integers, all the rest is the work of man.-Kronecker. This book is
concerned with models of event counts. An event count refers to the number of times an …

Agricultural intensification and damages to human health in relation to agrochemicals: Application of artificial intelligence

E Elahi, C Weijun, H Zhang, M Nazeer - Land use policy, 2019 - Elsevier
The indiscriminate use of agrochemicals for the maximization of the crop yield has adverse
effects on the air, water, soil, non-target organisms, and human health. Reducing the …