Log Gaussian Cox processes on the sphere

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Palm distributions for log Gaussian Cox processes

This paper establishes a remarkable result regarding Palm distributions for a log Gaussian Cox process: the reduced Palm distribution for a log Gaussian Cox process is itself a log Gaussian Cox process which only differs from the original log Gaussian Cox process in the intensity function. This new result is used to study functional summaries for log Gaussian Cox processes.

متن کامل

Correlation Changepoints in Log - Gaussian Cox Processes

This report seeks to analyse correlations in Point Processes. It provides an overview of current methods for analysing Point Processes and correlations in Gaussian Process timeseries. It reviews Intrinsic and Linear co-regionalisation models, as well as a correlation changepoint model. The use of the Kronecker Product for reducing computational complexity is also explored. All models are tested...

متن کامل

Modeling Tweet Arrival Times using Log-Gaussian Cox Processes

Research on modeling time series text corpora has typically focused on predicting what text will come next, but less well studied is predicting when the next text event will occur. In this paper we address the latter case, framed as modeling continuous inter-arrival times under a logGaussian Cox process, a form of inhomogeneous Poisson process which captures the varying rate at which the tweets...

متن کامل

lgcp: Inference with Spatial and Spatio-Temporal Log-Gaussian Cox Processes in R

This paper introduces an R package for spatial and spatio-temporal prediction and forecasting for log-Gaussian Cox processes. The main computational tool for these models is Markov chain Monte Carlo (MCMC) and the new package, lgcp, therefore also provides an extensible suite of functions for implementing MCMC algorithms for processes of this type. The modelling framework and details of inferen...

متن کامل

Going off grid: Computationally efficient inference for log-Gaussian Cox processes

In this paper we introduce a new method for performing computational inference on log-Gaussian Cox processes (LGCP). Contrary to current practice, we do not approximate by a counting process on a partition of the domain, but rather attack the point process likelihood directly. In order to do this, we use the continuously specified Markovian random fields introduced by Lindgren et al. (2011). Th...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Spatial Statistics

سال: 2018

ISSN: 2211-6753

DOI: 10.1016/j.spasta.2018.06.002