Results 61 to 70 of about 15,233,893 (167)

Optimized and Aligned Anisotropic Monte Carlo Sampling Patterns

Computer Graphics Forum, EarlyView.
Abstract Path tracing uses Monte Carlo integration to solve the rendering equation by evaluating the integrand at random sampling points. The convergence rate of the error can be significantly improved by using correlated instead of random sampling, especially on smooth integrands.
Mirco Werner, Johannes Hanika, Carsten Dachsbacher   +2 more
wiley   +1 more source

Survey on Compositional 3D Indoor Scene Generation

Computer Graphics Forum, EarlyView.
This survey provides a comprehensive overview of compositional 3D indoor scene generation, introducing a unified framework for categorizing existing methods, comparing their strengths and limitations and identifying key challenges and future research directions.
H. I. I. Tam, H. I. D. Pun, A. T. Wang, X. Sun, Q. Wu, H. Lee, A. X. Chang, M. Savva   +7 more
wiley   +1 more source

Graphene oxide–modified fluoridated varnish promotes mineral recovery in demineralized bovine enamel: An in vitro study

European Journal of Oral Sciences, EarlyView.
Abstract This in vitro study evaluated the efficacy of an experimental fluoridated varnish modified with graphene oxide (GO) nanoparticles in arresting initial caries lesion progression and promoting mineral recovery in demineralized bovine enamel.
Mariana Souza Rodrigues, Guilherme José Drigo, Sofia Furlanete Raymundo, Nair Cristina Brondino, Salvatore Sauro, Marilia Mattar de Amoêdo Campos Velo   +5 more
wiley   +1 more source

A Non‐Parametric Framework for Correlation Functions on Product Metric Spaces

International Statistical Review, EarlyView.
Summary We propose a non‐parametric framework for analysing data defined over products of metric spaces, a versatile class encountered in various fields. This framework accommodates non‐stationarity and seasonality and is applicable to both local and global domains, such as the Earth's surface, as well as domains evolving over linear time or time ...
Pier Giovanni Bissiri, Bernardo Nipoti, Emilio Porcu, Philip White   +3 more
wiley   +1 more source

On Integral Priors for Multiple Comparison in Bayesian Model Selection

International Statistical Review, EarlyView.
Summary Noninformative priors constructed for estimation purposes are usually not appropriate for model selection and testing. The methodology of integral priors was developed to get prior distributions for Bayesian model selection when comparing two models, modifying initial improper reference priors. We propose a generalisation of this methodology to
Diego Salmerón, Juan Antonio Cano, Christian P. Robert   +2 more
wiley   +1 more source

Bias Adjustment for Mean Squared Error Estimation in M‐Quantile Models for Small Area Estimation

International Statistical Review, EarlyView.
Summary M‐quantile (MQ) regression provides a robust and flexible alternative to mixed models for small area estimation. However, several theoretical aspects remain underexplored. In this paper, a parametric bootstrap method is proposed to approximate the distributions of area‐specific MQ coefficients and applied to adjust the bias in the mean squared ...
María Bugallo, Domingo Morales, Nicola Salvati, Francesco Schirripa Spagnolo   +3 more
wiley   +1 more source

Goodness‐of‐Fit Tests for Positive Quadrant Dependence

International Statistical Review, EarlyView.
Summary When two random variables are positive quadrant dependent (PQD), they are more likely to assume small (or large) values simultaneously compared with when the random variables are independent. This dependence structure is of interest in many areas, including finance, actuarial science and engineering.
Chuan‐Fa Tang, Joshua M. Tebbs
wiley   +1 more source

A genetic algorithm for scheduling an automated machine cell with tool and pallet–fixture setups

International Transactions in Operational Research, EarlyView.
Abstract This paper solves the scheduling problem of identical parallel machines with tooling and pallet–fixture constraints in a high‐mix, low‐volume, high‐complexity manufacturing environment. The machines are connected through an automated material handling device and in‐between buffer places that allow for autonomous production.
Koen Herps, Quang‐Vinh Dang, Tugce Martagan, Ivo Adan   +3 more
wiley   +1 more source

MCMCpack: Markov Chain Monte Carlo in R [PDF]

We introduce MCMCpack, an R package that contains functions to perform Bayesian inference using posterior simulation for a number of statistical models. In addition to code that can be used to fit commonly used models, MCMCpack also contains some useful ...
Andrew D. Martin, Jong Hee Park, Kevin M. Quinn   +2 more
core  

Mixing It Up: Inflation at Risk

Journal of Money, Credit and Banking, EarlyView.
Abstract Understanding how risk factors shape the economic outlook is essential for guiding policy decisions. This paper develops a flexible framework that decomposes distributional risk forecasts of macro‐economic variables into underlying contributions and supports the construction of interpretable risk measures.
MAXIMILIAN SCHRÖDER
wiley   +1 more source