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Cure rate models: alternatives methods to estimate the cure rate
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus São Carlos, 2020-07-16)
Cure rate models in survival data studies has formed an important field in the area and has attracted the attention of researchers.
In the search for new models of cure rate, the objective of this work is to propose ...
Multistage Long-Term Expansion Planning of Electrical Distribution Systems Considering Multiple Alternatives
(2016-05-01)
This paper presents a new mixed-integer linear programming (MILP) model to solve the multistage long-term expansion planning problem of electrical distribution systems (EDSs) considering the following alternatives: increasing ...
Revisiting the decay of missing ordinal patterns in long-term correlated time series
(Elsevier Science, 2019-11-15)
We revisit the decay of missing ordinal patterns in long-term correlated time series. More precisely, a stretched exponential model is proposed to describe more appropriately how the number of missing ordinal patterns ...
Rethinking tropical phenology: insights from long-term monitoring and novel analytical methods
(2018-05-01)
Here, we introduce the Special Section (SS) on long-term monitoring and new analytical methods in tropical phenology. The SS puts together nine original papers plus a synthesis, bringing significant advances and new insights ...
Enhancement of long-term memory expression by a single trial during consolidation
(Elsevier Ireland, 2011-01)
Before the memory trace is stored long term, it must undergo a phase of consolidation during which it remains susceptible to modifications. It has previously been proposed that during consolidation, memories are kept from ...
Forecasting accuracy and estimation uncertainty using VAR models with short- and long-term economic restrictions: a Monte-Carlo study
(Fundação Getulio Vargas. Escola de Pós-graduação em Economia, 2005-04-01)
Using vector autoregressive (VAR) models and Monte-Carlo simulation methods we investigate the potential gains for forecasting accuracy and estimation uncertainty of two commonly used restrictions arising from economic ...
Transmission network expansion planning considering uncertainty in demand
(Institute of Electrical and Electronics Engineers (IEEE), 2006-11-01)
This paper presents two mathematical models and one methodology to solve a transmission network expansion planning problem considering uncertainty in demand. The first model analyzed the uncertainty in the system as a ...
The importance of time resolution, operational flexibility and risk aversion in quantifying the value of energy storage in long-term energy planning studies
(Elsevier Ltd, 2019)
This paper analyzes the impact of modeling detail in long-term energy planning models when assessing the value of energy storage in electricity markets. By running six optimization models for the long-term planning of ...
Long-term Yields Implied by Stochastic Discount Factor Decompositions
(Sociedade Brasileira de Econometria, 2019)