<p>The distributions are shifted by arbitrary factors along the vertical axis for better visibility of the separate lines. The black lines are stretched exponential and power-law fits of the last empirical distribution. The tail can be approximated by a power-law with exponent , however, the rest of the fit is unsatisfactory. Therefore, we fit the distribution with a stretched exponential distribution of form . We find a better approximation of the whole distributions; the parameters are and .</p
<p>The distribution has exponential tail which enforces approximations used in the paper. The expone...
A’, B’, C’: Node strength distribution of the three subnetworks. The distribution of the nodes stren...
e analyze statistical properties of the largest cryptocurrencies (determined by market capitalizatio...
Data are sampled from Bitcoin (top row), Ethereum (middle row), and Namecoin (bottom row). Example d...
<p>We observe a power-law distribution close to the widely observed , the exponential cutoff corresp...
We analyze statistical properties of the largest cryptocurrencies (determined by market capitalizati...
Purpose: The research aims to analyze the log-returns of Bitcoin exchange rates against the US Dolla...
We perform the most comprehensive test of cryptocurrency return distributions to date. We fit 58 hyp...
<p>Number of addresses with nonzero balance (green), addresses in participating in at least one tran...
Since its launch in 2008, Bitcoin becomes one of the most successful and fast-growing alternative cu...
Statistical modeling and forecasting are very important for decision-making in any field of life. Th...
<p>Solid and dashed lines in (b) represent the best fitting inverse power law (changing practice) an...
<p><b>A</b>): Nine exponential run length distributions for random walks with constant tumbling prob...
We empirically verify that the market capitalizations of coins and tokens in the cryptocurrency univ...
Distribution of Bitcoin owned by the identified clients on 12/20/2013 (1/100 km2).</p
<p>The distribution has exponential tail which enforces approximations used in the paper. The expone...
A’, B’, C’: Node strength distribution of the three subnetworks. The distribution of the nodes stren...
e analyze statistical properties of the largest cryptocurrencies (determined by market capitalizatio...
Data are sampled from Bitcoin (top row), Ethereum (middle row), and Namecoin (bottom row). Example d...
<p>We observe a power-law distribution close to the widely observed , the exponential cutoff corresp...
We analyze statistical properties of the largest cryptocurrencies (determined by market capitalizati...
Purpose: The research aims to analyze the log-returns of Bitcoin exchange rates against the US Dolla...
We perform the most comprehensive test of cryptocurrency return distributions to date. We fit 58 hyp...
<p>Number of addresses with nonzero balance (green), addresses in participating in at least one tran...
Since its launch in 2008, Bitcoin becomes one of the most successful and fast-growing alternative cu...
Statistical modeling and forecasting are very important for decision-making in any field of life. Th...
<p>Solid and dashed lines in (b) represent the best fitting inverse power law (changing practice) an...
<p><b>A</b>): Nine exponential run length distributions for random walks with constant tumbling prob...
We empirically verify that the market capitalizations of coins and tokens in the cryptocurrency univ...
Distribution of Bitcoin owned by the identified clients on 12/20/2013 (1/100 km2).</p
<p>The distribution has exponential tail which enforces approximations used in the paper. The expone...
A’, B’, C’: Node strength distribution of the three subnetworks. The distribution of the nodes stren...
e analyze statistical properties of the largest cryptocurrencies (determined by market capitalizatio...