Results 31 to 40 of about 31,254 (203)

Application of Passive Methods of Robust Estimation: Baarda's and Pope's in Real Estate Market Analysis

open access: yesReal Estate Management and Valuation, 2018
The article presents the results of research into the appraisal of the usefulness and effectiveness of passive methods of robust estimation in real estate market analysis. Two methods are considered, i.e.: Baarda's and Pope's.
Śpiewak Beata
doaj   +1 more source

Econometric Models of Real Estate Prices with Prior Information. Mixed Estimation

open access: yesReal Estate Management and Valuation, 2022
The purpose of this paper is to estimate econometric models with sample and prior information. Prices of land property for residential development in Szczecin are modeled (the price level was determined for 2018).
Doszyń Mariusz
doaj   +1 more source

A new link function for the prediction of binary variables

open access: yesCroatian Review of Economic, Business and Social Statistics, 2018
If there are no heavy sanctions in place to prevent it, the problem of the cancellation of appointments can lead to huge economic losses and can have a significant impact on underutilized resources of healthcare facilities.
Gheno Gloria
doaj   +1 more source

A Provincial Perspective of Nonlinear Okun’s Law for Emerging Markets: The Case of South Africa

open access: yesStudia Universitatis Vasile Goldis Arad, Seria Stiinte Economice, 2020
A provincial analysis of Okun’s law in South Africa is provided in this article from 1996 to 2016. Empirically, we rely on the nonlinear autoregressive distributive lag (N-ARDL) model whilst the Corbae-Ouliaris filter is used to extract the ‘gap ...
Kavese Kambale, Phiri Andrew
doaj   +1 more source

Distributional Reinforcement Learning with Quantile Regression

open access: yes, 2017
In reinforcement learning an agent interacts with the environment by taking actions and observing the next state and reward. When sampled probabilistically, these state transitions, rewards, and actions can all induce randomness in the observed long-term
Bellemare, Marc G.   +3 more
core   +1 more source

Synthesis of the C50 diastereomers of the C33–C51 fragment of stambomycin D

open access: yesOrganic Chemistry Frontiers, 2022
The preparation of two C50 diastereomers of the C33–C51 region of stambomycin D is described. In addition to excellent correlation with the natural product, this synthesis establishes conditions for eventual global deprotection.
Yongchen Wang   +4 more
openaire   +1 more source

Econometric analysis of financial trade processes by discrete mixture duration models [PDF]

open access: yes, 2005
We propose a new framework for modelling the time dependence in duration processes being in force on financial markets. The pioneering ACD model introduced by Engle and Russell (1998) will be extended in a manner that the duration process will be ...
Hujer, Reinhard, Vuletić, Sandra
core   +1 more source

C51. Impending Rupture in Acute Type A Aortic Dissection : Case Report

open access: yesEuropean Heart Journal Supplements, 2021
Abstract Background Acute aortic dissection is a life threatening condition that remains a challenge to diagnose and treat. 67% patients was presented with Acute type A aortic dissection (ATAAD) and often accompanied with some complications.
Anita Surya Santoso   +2 more
openaire   +1 more source

Atomistic Mechanisms Triggered by Joule Heating Effects in Metallic Cu‐Bi Nanowires for Spintronics

open access: yesAdvanced Materials, EarlyView.
Bi doped metallic Cu nanowires are promising for spintronics thanks to the stabilization of a giant spin Hall effect. However, heat resulting from current injection forces Bi to leave solution, forcing segregation into monoatomic decorations which evolve into coherent crystalline aggregates.
Alejandra Guedeja‐Marrón   +6 more
wiley   +1 more source

Optimizing Spark job scheduling with distributional deep learning in cloud environments

open access: yesJournal of Cloud Computing: Advances, Systems and Applications
Apache Spark has emerged as a leading in-memory big data processing framework, with cloud deployments offering scalability and cost efficiency. However, effective job scheduling in cloud-based Spark environments remains challenging due to resource ...
Vishnu Prasad Verma   +4 more
doaj   +1 more source

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