LRD v6.0.1: Long-Range Dependence and Microstructural Universality
Fuente:
Zenodo
Saved in:
| Main Author: | Chechelnitsky, Igor |
|---|---|
| Format: | Recurso digital |
| Language: | English |
| Published: |
Zenodo
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Simulating negative temperatures by imposing wealth upper-bounds in exchanges
by: A. R. Villagómez-Manrique
Published: (2018)
by: A. R. Villagómez-Manrique
Published: (2018)
Methodology for detection of determinism and nonlinearity on financial time series
by: Luz María Ospina Gutiérrez
Published: (2015)
by: Luz María Ospina Gutiérrez
Published: (2015)
Time-Series Forecasting Model for Evaluating District Hospital Systems in South Africa: A Longitudinal Study
by: Motombwe, Qhunou, et al.
Published: (2013)
by: Motombwe, Qhunou, et al.
Published: (2013)
Methodological Evaluation of Off-Grid Communities Systems in Kenya Using Difference-in-Differences for Adoption Rate Measurement
by: Barry, Ms Kimberley, et al.
Published: (2014)
by: Barry, Ms Kimberley, et al.
Published: (2014)
A Feed-Forward Neural Networks-Based Nonlinear Autoregressive Model for Forecasting Time Series
by: Julián A. Pucheta
Published: (2011)
by: Julián A. Pucheta
Published: (2011)
Croatian Review of Economic, Business and Social Statistics
Published: (2018)
Published: (2018)
Time-Series Forecasting Models in Public Health Surveillance Systems in Senegal: A Methodological Assessment
by: Baker, Ronald, et al.
Published: (2014)
by: Baker, Ronald, et al.
Published: (2014)
Methodological Evaluation of Secondary Schools Systems in Tanzania: A Time-Series Forecasting Model for Yield Improvement Assessment
by: Masanja, Makombo, et al.
Published: (2010)
by: Masanja, Makombo, et al.
Published: (2010)
Methodological Evaluation of Manufacturing Systems in Tanzanian Plants Using Time-Series Forecasting for Yield Improvement Measurement
by: Muhamedisso, Kasapiwa
Published: (2013)
by: Muhamedisso, Kasapiwa
Published: (2013)
Methodological Evaluation of South African Field Research Stations in Yield Improvement Forecasting Using Time-Series Models
by: Tshabalala, Mpho, et al.
Published: (2007)
by: Tshabalala, Mpho, et al.
Published: (2007)
Time-Series Forecasting Model for Clinical Outcomes in Senegalese Smallholder Farm Systems
by: Diop, Issa
Published: (2001)
by: Diop, Issa
Published: (2001)
Time-Series Forecasting Model for Efficiency Gains in Community Health Centres in Tanzania
by: Ngowi, Chituwo, et al.
Published: (2011)
by: Ngowi, Chituwo, et al.
Published: (2011)
Time-Series Forecasting Model for Risk Reduction in Community Health Centres Systems in Kenya: A Methodological Evaluation
by: Muthamaa, Njeri, et al.
Published: (2005)
by: Muthamaa, Njeri, et al.
Published: (2005)
Methodological Evaluation of Community Health Centres Systems in Uganda Using Time-Series Forecasting Models
by: Namugitaka, Orika, et al.
Published: (2002)
by: Namugitaka, Orika, et al.
Published: (2002)
Options valuation analysis of the shares of Ecopetrol and Pacific Exploration between June 2013 and June 2016
by: Álvaro Javier Cangrejo
Published: (2017)
by: Álvaro Javier Cangrejo
Published: (2017)
Oil price effect on sectoral stock returns: A conditional covariance and correlation approach for Mexico
by: Rodrigo A. Morales Fernández Rafaelly
Published: (2021)
by: Rodrigo A. Morales Fernández Rafaelly
Published: (2021)
BENCHMARKING EMBEDDED KEY-VALUES STORES USING eBPF
by: Sahakyan H.
Published: (2025)
by: Sahakyan H.
Published: (2025)
Asymptotic Analysis and Identifiability in Time-Series Econometrics for Traffic-Flow Optimization in Rwanda
by: Muhizi, Kabuga, et al.
Published: (2003)
by: Muhizi, Kabuga, et al.
Published: (2003)
Retroactive Interference: Forgetting as an Interruption of Memory Consolidation
by: Marcus Vinicius Costa Alves
Published: (2017)
by: Marcus Vinicius Costa Alves
Published: (2017)
ΔΦ FIELD GEOMETRY AND MARKET RESONANCE v2.0 Reframing CNN Tensor Learning in Finance Through Electrostatic Collapse Geometry
by: Mitchell , Thomas S.
Published: (2026)
by: Mitchell , Thomas S.
Published: (2026)
The Black-Scholes type financial models and the arbitrage opportunities
by: Nikolay Sukhomlin
Published: (2007)
by: Nikolay Sukhomlin
Published: (2007)
Marine ML Benchmark: A Comprehensive Benchmark for Machine Learning in Marine Science
by: Zhang, Hanming
Published: (2025)
by: Zhang, Hanming
Published: (2025)
Marine ML Benchmark: A Comprehensive Benchmark for Machine Learning in Marine Science
by: Zhang, Hanming
Published: (2025)
by: Zhang, Hanming
Published: (2025)
The world market for soybeans: price transmission into Brazil and effects from the timing of crop and trade
by: Mario A. Margarido
Published: (2007)
by: Mario A. Margarido
Published: (2007)
Компьютерные исследования и моделирование
Published: (2018)
Published: (2018)
Electrical properties of resistive switches based on Ba1-xSr xTiO3 thin films prepared by RF co-sputtering
by: A. Márquez-Herrera
Published: (2010)
by: A. Márquez-Herrera
Published: (2010)
Fractional Brownian motion in DNA sequences of bacterial chromosomes: a renormalization group approach
by: M. V. José
Published: (2010)
by: M. V. José
Published: (2010)
NSICoreSpecv1.0 CanonicalDefinition,EstimatorFamily,andCross-DomainInventory
by: Hrubec, Karel
Published: (2026)
by: Hrubec, Karel
Published: (2026)
Synaptic plasticity : Understanding the neurobiological mechanisms of learning and memory. Part II
by: Juan C. Calva
Published: (2001)
by: Juan C. Calva
Published: (2001)
Understanding the neurobiological mechanisms of learning and memory: Memory systems of the brain, long term potentiation and synaptic...
by: Carlos Torner
Published: (2002)
by: Carlos Torner
Published: (2002)
Synaptic plasticity : Understanding the neurobiological mechanisms of learning and memory. Part I
by: Philippe Leff
Published: (2001)
by: Philippe Leff
Published: (2001)
Metabolic Adaptive Dynamics (MAD) v1.0
by: Elvis, Dead
Published: (2026)
by: Elvis, Dead
Published: (2026)
A Brief multifractal analysis of rainfall dynamics in Piracicaba, São Paulo, Brazil
by: Silvio Fernando Alves Xavier Júnior
Published: (2018)
by: Silvio Fernando Alves Xavier Júnior
Published: (2018)
Pre-Model Structure Screening Across Non-Stationary Financial and Neural Time Series
by: Lee, Parker
Published: (2026)
by: Lee, Parker
Published: (2026)
ERN (Ethernity Chain) Quantitative Research Report – 2022‑2025 Price Dynamics, Volatility, and Risk‑Adjusted Outlook
by: Quantitative Analysis Group
Published: (2025)
by: Quantitative Analysis Group
Published: (2025)
Stax (STX) Comprehensive Quantitative Analysis: Trends, Volatility, and Outlook (2022‑2025)
by: Quantitative Analysis Group
Published: (2025)
by: Quantitative Analysis Group
Published: (2025)
KLAY (Klaytn) Comprehensive Quantitative Analysis: Trends, Volatility, and Outlook (2022‑2025)
by: Quantitative Analysis Group
Published: (2025)
by: Quantitative Analysis Group
Published: (2025)
GALA Token Deep Dive: Volatility, Risk‑Adjusted Returns, and Outlook (2022‑2025)
by: Quantitative Analysis Group
Published: (2025)
by: Quantitative Analysis Group
Published: (2025)
Potencialidad de la variedad Torrontés para elaborar vinos monovarietales
by: E. Falqué López
Published: (2002)
by: E. Falqué López
Published: (2002)
The Advanced Complexity Analysis of Electroencephalography (EEG) Data Using Tsallis Entropy
by: Francisco Santos, Dheiver
Published: (2024)
by: Francisco Santos, Dheiver
Published: (2024)
Similar Items
-
Simulating negative temperatures by imposing wealth upper-bounds in exchanges
by: A. R. Villagómez-Manrique
Published: (2018) -
Methodology for detection of determinism and nonlinearity on financial time series
by: Luz María Ospina Gutiérrez
Published: (2015) -
Time-Series Forecasting Model for Evaluating District Hospital Systems in South Africa: A Longitudinal Study
by: Motombwe, Qhunou, et al.
Published: (2013) -
Methodological Evaluation of Off-Grid Communities Systems in Kenya Using Difference-in-Differences for Adoption Rate Measurement
by: Barry, Ms Kimberley, et al.
Published: (2014) -
A Feed-Forward Neural Networks-Based Nonlinear Autoregressive Model for Forecasting Time Series
by: Julián A. Pucheta
Published: (2011)