Results 111 to 120 of about 25,752 (301)

Deterministic seasonality versus seasonal fractional integration [PDF]

open access: yes, 2000
We make use in this article of a testing procedure suggested by Robinson (1994) for testing deterministic seasonality versus seasonal fractional integration.
Gil-Alaña, Luis A.
core  

Towards operational assimilation of surface‐sensitive microwave radiances over land at Environment and Climate Change Canada: Investigation of key factors using a 1D‐EnVar framework

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
The study evaluates five factors affecting the assimilation of surface‐sensitive Advanced Microwave Sounding Unit‐A (AMSU‐A) radiances over land, including the simultaneous estimation of surface emissivity and the standard set of state variables, to improve numerical weather prediction (NWP) at Environment and Climate Change Canada (ECCC).
Zheng Qi Wang   +4 more
wiley   +1 more source

Looking for a Needle in a Haystack? A Structural Time Series Model of the Relationship Between Teenage Employment and Minimum Wages in the United States [PDF]

open access: yes
The work of Card and Krueger has cast doubt on the nature of the relationship between the minimum wage and teenage employment. The earlier "consensus" finding of a small but statistically significant negative effect was based on time series data whereas ...
Stephen Bazen, Velayoudom Marimoutou
core  

Performance of Seasonal Adjustment Procedures: Simulation and Empirical Results [PDF]

open access: yes, 2005
In this chapter we use a simulation experiment to examine whether the seasonal adjustment methods Census X12-ARIMA and TRAMO/SEATS effectively remove seasonality properties from time series data, while preserving other features like the stochastic trend.
Fok, D. (Dennis)   +2 more
core  

Are we misdiagnosing ensemble forecast reliability? On the insufficiency of spread–error and rank‐based reliability metrics

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
We demonstrate that the spread–error relationship, rank histogram, and continuous rank probability score reliability component can falsely indicate reliability under climatological variance biases, yielding ensemble members that are overly or insufficiently extreme.
Arlan Dirkson, Mark Buehner
wiley   +1 more source

Cointegration and Unit Roots. [PDF]

open access: yes
This paper provides an updated survey of a burgeoning literature on testing, estimation and model specification in the presence of integrated variables.
Dolado, Juan José   +2 more
core  

Centering Care in Transformative Climate Change Education: A Theoretical Framework for Communal Learning Ecosystems

open access: yesScience Education, EarlyView.
ABSTRACT Research‐practice partnerships addressing climate change education face challenges navigating political resistance, epistemic tensions, and systemic inequities within schools and communities. Recent scholarship has outlined transformative climate change education (TCCE) as requiring the simultaneous transformation of curricula, pedagogies, and
Amal Ibourk, Deb L. Morrison
wiley   +1 more source

Trading Strategies on Local Electricity Markets Using Agent‐Based Modelling and Reinforcement Learning: Vectors to Expand Energy Communities

open access: yesSystems Research and Behavioral Science, EarlyView.
ABSTRACT Energy communities (ECs) members have a high degree of heterogeneity. Agent‐based modelling (ABM) allows for the modelling of each entity as an agent with distinct characteristics and decision rules. This is particularly useful when the heterogeneity of agents affects outcomes.
Adela Bâra, Simona‐Vasilica Oprea
wiley   +1 more source

A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT The analysis of spatiotemporal data is essential across many fields, such as transportation, meteorology and healthcare. Data gathered in practical applications often suffer from incompleteness due to device failures and network disruptions.
Yakun Chen   +7 more
wiley   +1 more source

Multi‐Agent Reinforcement Learning Driven Dynamic Resource Optimisation in Healthcare Transportation Networks

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT This paper presents HealthNet, a novel framework for the dynamic optimisation of healthcare transportation networks using multi‐agent reinforcement learning. HealthNet leverages a spatiotemporal dependency module to capture complex spatiotemporal relationships in healthcare demand and resource allocation patterns, combined with centralised ...
Jianhui Lv   +3 more
wiley   +1 more source

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