Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Itamar Caspi"'
Autor:
Itamar Caspi
Publikováno v:
Journal of Statistical Software, Vol 81, Iss 1, Pp 1-16 (2017)
This paper presents Rtadf (right-tail augmented Dickey-Fuller), an EViews add-in that facilitates the performance of time series based tests that help detect and date-stamp asset price bubbles. The detection strategy is based on a right-tail variatio
Externí odkaz:
https://doaj.org/article/7e0f7993e8ac4e93b491b9d68e41909d
Publikováno v:
Virus Evolution.
RNA viruses are particularly notorious for their high levels of genetic diversity, which is generated through the forces of mutation and natural selection. However, disentangling these two forces is a considerable challenge, and this may lead to wide
Publikováno v:
The Economists’ Voice.
We use text-mining techniques to measure the accessibility and quality of information within the texts of interest rate announcements published by the Bank of Israel over the past decade. We find that comprehension of interest rate announcements publ
Publikováno v:
The Economists’ Voice. 19:5-14
Significant shifts in the composition of consumer spending as a result of the COVID-19 crisis can complicate the interpretation of official inflation data, which are calculated by the Central Bureau of Statistics (CBS) based on a fixed basket of good
Publikováno v:
Western Indian Ocean Journal of Marine Science; Vol. 20 No. 1 (2021); 111-123
Anthropogenic stressors from onshore and offshore activities can act as driving factors of disease for a wide range of marine organisms. Green turtles (Chelonia mydas) are prominently afflicted with a tumour-causing disease known as fibropapillomatos
Publikováno v:
International Journal of Forecasting.
We present a hierarchical architecture based on Recurrent Neural Networks (RNNs) for predicting disaggregated inflation components of the Consumer Price Index (CPI). While the majority of existing research is focused mainly on predicting the inflatio
Double machine learning (DML) has become an increasingly popular tool for automated variable selection in high-dimensional settings. Even though the ability to deal with a large number of potential covariates can render selection-on-observables assum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6983d67defa692714e1650d46607875a
http://arxiv.org/abs/2108.11294
http://arxiv.org/abs/2108.11294
Autor:
Haim Ben-Zvi, Shay Ben-Shachar, Dana Sagas, Doron Amichay, Anat Ben-Dor, Faten Gadban, Galit Bergerzon, Ran D. Balicer, Sheri Harari, Eti Eliassian, Amit Huppert, Shay Perchik, Eldad Kepten, Michael Leschinsky, Uriah Finkel, Yonat Shemer Avni, Maayan Tahor, Hala Gadban, Shifra Ken Dror, Orit Shimron, Rachel Levy, Adi Stern, Noam Harel, Merav Strauss, Loulou Saleh, Doron Nezer, Talia Kustin, Itamar Caspi
SummaryThe SARS-CoV-2 pandemic has been raging for over a year, creating global detrimental impact. The BNT162b2 mRNA vaccine has demonstrated high protection levels, yet apprehension exists that several variants of concerns (VOCs) can surmount the i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4093329293e7c6bbec76df6ecc97741f
https://doi.org/10.1101/2021.04.06.21254882
https://doi.org/10.1101/2021.04.06.21254882
Autor:
Hala Gadban, Orit Shimron, Shay Perchik, Galit Bergerzon, Shifra Ken Dror, Haim Ben-Zvi, Maayan Tahor, Uriah Finkel, Michael Leshchinsky, Anat Ben-Dor, Talia Kustin, Shay Ben-Shachar, Faten Gadban, Noam Harel, Itamar Caspi, Ran D. Balicer, Merav Strauss, Rachel Levy, Loulou Saleh, Adi Stern, Dana Sagas, Doron Amichay, Elena Keren Taraday, Eldad Kepten, Yonat Shemer Avni, Doron Netzer, Amit Huppert, Sheri Harari, Eti Eliassian
Publikováno v:
Nature Medicine
The BNT162b2 mRNA vaccine is highly effective against SARS-CoV-2. However, apprehension exists that variants of concern (VOCs) may evade vaccine protection, due to evidence of reduced neutralization of the VOCs B.1.1.7 and B.1.351 by vaccine sera in
Autor:
Meital Graham, Itamar Caspi
Publikováno v:
Finance Research Letters. 26:89-94
Recursive right-tailed unit root tests have recently become a popular tool to test the existence of stock price bubbles. These tests require continuous data on dividend distribution that is not always available, in particular when it comes to sectora