Transfer learning for functional mean estimation: Phase transition and adaptive algorithms
This supplementary material provides the complete proofs of the main theorems and
technical results introduced in the paper,“Transfer Learning for Functional Mean Estimation …
technical results introduced in the paper,“Transfer Learning for Functional Mean Estimation …
Five consecutive epidemiological waves of COVID-19: a population-based cross-sectional study on characteristics, policies, and health outcome
R Amin, MR Sohrabi, AR Zali, K Hannani - BMC infectious diseases, 2022 - Springer
Background This study was conducted with the intension of providing a more detailed view
about the dynamics of COVID-19 pandemic. To this aim, characteristics, implemented public …
about the dynamics of COVID-19 pandemic. To this aim, characteristics, implemented public …
Multifractal cross-correlations of bitcoin and ether trading characteristics in the post-COVID-19 time
Unlike price fluctuations, the temporal structure of cryptocurrency trading has seldom been a
subject of systematic study. In order to fill this gap, we analyse detrended correlations of the …
subject of systematic study. In order to fill this gap, we analyse detrended correlations of the …
Global and regional changes in carbon dioxide emissions: 1970–2019
We introduce new frameworks to study spatio-temporal patterns in carbon dioxide
emissions, demographic trends and economic patterns across 50 countries over the past 50 …
emissions, demographic trends and economic patterns across 50 countries over the past 50 …
Efficiency of communities and financial markets during the 2020 pandemic
This paper investigates the relationship between the spread of the COVID-19 pandemic, the
state of community activity, and the financial index performance across 20 countries. First …
state of community activity, and the financial index performance across 20 countries. First …
Spatio-temporal trends in the propagation and capacity of low-carbon hydrogen projects
This paper uses established and recently introduced methods from the applied mathematics
and statistics literature to study trends in the propagation and capacity of low-carbon …
and statistics literature to study trends in the propagation and capacity of low-carbon …
Collective correlations, dynamics, and behavioural inconsistencies of the cryptocurrency market over time
This paper introduces new methods to study behaviours among the 52 largest
cryptocurrencies between 01-01-2019 and 30-06-2021. First, we explore evolutionary …
cryptocurrencies between 01-01-2019 and 30-06-2021. First, we explore evolutionary …
Dual-domain analysis of gun violence incidents in the United States
This paper applies new and recently introduced approaches to study trends in gun violence
in the United States. We use techniques in both the time and frequency domain to provide a …
in the United States. We use techniques in both the time and frequency domain to provide a …
Comparing the dynamics of COVID-19 infection and mortality in the United States, India, and Brazil
This paper compares and contrasts the spread and impact of COVID-19 in the three
countries most heavily impacted by the pandemic: the United States (US), India and Brazil …
countries most heavily impacted by the pandemic: the United States (US), India and Brazil …
Understanding spatial propagation using metric geometry with application to the spread of COVID-19 in the United States
This paper introduces a novel approach to spatio-temporal data analysis using metric
geometry to study the propagation of COVID-19 across the United States. Using a geodesic …
geometry to study the propagation of COVID-19 across the United States. Using a geodesic …