Results 201 to 210 of about 10,800,365 (307)

Markov Chains and Markov Processes

open access: yes, 2016
Markov chain, which was named after Andrew Markov is a mathematical system that transfers a state to another state. Many real world systems contain uncertainty. This study helps us to understand the basic idea of a Markov chain and how is been useful in our daily lives.
openaire   +1 more source

Legacy effects of redlining on the distribution of greenspaces in US cities

open access: yesFrontiers in Ecology and the Environment, EarlyView.
We investigated how a discriminatory housing policy—redlining—has shaped the spatial patterns and configurations of greenspaces throughout 177 cities in the contiguous US. Housing segregation has been a long‐term development practice that has sequestered communities of color to areas with elevated environmental and public health risks.
Travis Gallo   +4 more
wiley   +1 more source

A New Implementation of Network GARCH Model for Stock Volatility and Co‐Volatility Forecasting

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Volatility clustering and spillovers are key features of financial time series with many cross‐sectional assets. While network analysis links similar or correlated stocks and helps trace volatility spillovers, contemporary multivariate ARCH‐GARCH formulations struggle to represent structured network dependence and remain parsimonious.
Peiyi Zhou
wiley   +1 more source

Forecasting Duration in High‐Frequency Financial Data Using a Self‐Exciting Flexible Residual Point Process

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT This paper presents a method for forecasting limit order book durations using a self‐exciting flexible residual point process. High‐frequency events in modern exchanges exhibit heavy‐tailed interarrival times, posing a significant challenge for accurate prediction.
Kyungsub Lee
wiley   +1 more source

Temporal Robustness in Cross‐Country Gross Domestic Product Forecasting: Evidence From Classical, Regime‐Switching, and Ensemble Models

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT This study evaluates whether the relative performance of gross domestic product forecasting models is temporally robust across economies and changing macroeconomic conditions. Using annual real gross domestic product data from the World Bank for 177 separately reported economies and territories, we conduct a common‐vintage pseudo‐out‐of‐sample
Achilleas Tampouris, Chaido Dritsaki
wiley   +1 more source

Multivariate Markov Families of Copulas

open access: yesDependence Modeling, 2015
Overbeck Ludger, Schmidt Wolfgang M.
doaj   +1 more source

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