References in zbMATH (referenced in 139 articles , 1 standard article )

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  1. Meyer, Mark J.; Malloy, Elizabeth J.; Coull, Brent A.: Bayesian wavelet-packet historical functional linear models (2021)
  2. Michis, Antonis A.: Wavelet multidimensional scaling analysis of European economic sentiment indicators (2021)
  3. Ozan Evkaya, O.; Sevinç Kurnaz, Fatma: Forecasting drought using neural network approaches with transformed time series data (2021)
  4. Taleb, Youssef; Cohen, Edward A. K.: Multiresolution analysis of point processes and statistical thresholding for Haar wavelet-based intensity estimation (2021)
  5. Yu, Hanjun; Xu, Xinyi; Cao, Di: The adaptive normal-hypergeometric-inverted-beta priors for sparse signals (2021)
  6. Zhao, Xin; Barber, Stuart; Taylor, Charles C.; Milan, Zoka: Interval forecasts based on regression trees for streaming data (2021)
  7. Cattani, Carlo: Fractal similarities between the distribution of primes and nucleotides in DNA (2020)
  8. Chakraborty, Tanujit; Ghosh, Indrajit: Real-time forecasts and risk assessment of novel coronavirus (COVID-19) cases: a data-driven analysis (2020)
  9. Craigmile, Peter F.; Mondal, Debashis: Estimation of long-range dependence in gappy Gaussian time series (2020)
  10. Sadefo Kamdem, Jules; Bandolo Essomba, Rose; Njong Berinyuy, James: Deep learning models for forecasting and analyzing the implications of COVID-19 spread on some commodities markets volatilities (2020)
  11. Schlüter, Stephan; Kresoja, Milena: Two preprocessing algorithms for climate time series (2020)
  12. Singh, Sarbjit; Parmar, Kulwinder Singh; Kumar, Jatinder; Makkhan, Sidhu Jitendra Singh: Development of new hybrid model of discrete wavelet decomposition and autoregressive integrated moving average (ARIMA) models in application to one month forecast the casualties cases of COVID-19 (2020)
  13. Bandi, F. M.; Perron, Benoit; Tamoni, A.; Tebaldi, Claudio: The scale of predictability (2019)
  14. Beckmann, Joscha; Berger, Theo; Czudaj, Robert: Gold price dynamics and the role of uncertainty (2019)
  15. Bu, Di; Liao, Yin; Shi, Jing; Peng, Hongfeng: Dynamic expected shortfall: a spectral decomposition of tail risk across time horizons (2019)
  16. Huang, Hsin-Hsiung; Girimurugan, Senthil Balaji: Discrete wavelet packet transform based discriminant analysis for whole genome sequences (2019)
  17. Liu, Xiaoquan; Cao, Yi; Ma, Chenghu; Shen, Liya: Wavelet-based option pricing: an empirical study (2019)
  18. Samejima, Kim; Morettin, Pedro A.; Sato, João Ricardo: Directed wavelet covariance (2019)
  19. Zhang, Yue-Jun; Li, Shu-Hui: The impact of investor sentiment on crude oil market risks: evidence from the wavelet approach (2019)
  20. Berger, Theo; Gençay, Ramazan: Improving daily value-at-risk forecasts: the relevance of short-run volatility for regulatory quality assessment (2018)

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