<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Physics of Risk</title><link>https://rf.mokslasplius.lt/</link><description/><atom:link href="https://rf.mokslasplius.lt/feeds/rss.xml" rel="self"/><lastBuildDate>Tue, 08 Sep 2026 08:00:00 +0300</lastBuildDate><item><title>Approximating characteristic function of bounded Pareto distribution with α=1</title><link>https://rf.mokslasplius.lt/approximating-characteristic-function-of-bounded-Pareto-distribution-with-alpha-1/</link><description>&lt;p&gt;During the summer, I received an email from a researcher at university
abroad inquiring about how we (myself and my senior colleague, &lt;a href="/tag/b-kaulakys/"&gt;prof. B.
Kaulakys&lt;/a&gt;) derived the approximation for the
characteristic function of bounded Pareto distribution (for the particular
case with \( \alpha = 1 \)). The approximation was given in &lt;span class="article-cite-items"&gt;[&lt;a class="article-cite-item" href="#Kononovicius2023rtn" title="A. Kononovicius, B. Kaulakys. 1/f noise from the sequence of nonoverlapping rectangular pulses. Physical Review E 107: 034117 (2023). doi: 10.1103/PhysRevE.107.034117. arXiv:2210.11792 [cond-mat.stat-mech]."&gt;1&lt;/a&gt;]&lt;/span&gt;, but derivation turned out to be somewhat more
involved than I remembered. Originally, I derived it with the help of
Wolfram Engine, while my colleague consulted various mathematical formula
compendiums. Unfortunately, I was unable to find any notes containing the
derivation. So I have attempted to reconstruct a combined approach from
scratch. You'll find the derivation below.&lt;/p&gt;
</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Aleksejus Kononovicius</dc:creator><pubDate>Tue, 08 Sep 2026 08:00:00 +0300</pubDate><guid>tag:rf.mokslasplius.lt,2026-09-08:/approximating-characteristic-function-of-bounded-Pareto-distribution-with-alpha-1/</guid><category>2026</category><category>statistics</category><category>power-law distributions</category><category>Python</category><category>B. Kaulakys</category></item><item><title>We are back for a new academic year (2026)!</title><link>https://rf.mokslasplius.lt/we-are-back-for-a-new-academic-year-2026/</link><description>&lt;p&gt;So, we are back for a new academic year! Over the summer, our group
continued reading books on &lt;a href="/tag/statistics/"&gt;statistics&lt;/a&gt;. Our summer
readings, both old and new, has inspired a few posts that will be published
on the blog soon. We hope you will find them enlightening!&lt;/p&gt;
&lt;div class="figure"&gt;&lt;img alt="Image illustrating the start of new academic year generated with
ChatGPT" src="https://rf.mokslasplius.lt/uploads/2026/we-are-back-for-a-new-academic-year-2026.jpg"/&gt;&lt;/div&gt;
&lt;p&gt;Oh, and by the way, this September is our 21st September since we started
Physics of Risk blog (if we include the 2006–2010 period when the posts were
written in Lithuanian). 20 years have gone by!&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Aleksejus Kononovicius</dc:creator><pubDate>Tue, 01 Sep 2026 08:00:00 +0300</pubDate><guid>tag:rf.mokslasplius.lt,2026-09-01:/we-are-back-for-a-new-academic-year-2026/</guid><category>2026</category><category>general</category></item><item><title>Road trip inspired by a calendar</title><link>https://rf.mokslasplius.lt/road-trip-inspired-by-calendar/</link><description>&lt;p&gt;Do you have plans for summer holidays? If not, here is a quick idea
presented to you by &lt;a href="https://www.youtube.com/@woollybenguin3479"&gt;Woolly
Benguin&lt;/a&gt; at MathsJam 2023.&lt;/p&gt;
&lt;div class="embed-responsive embed-responsive-16by9"&gt;&lt;iframe class="embed-responsive-item html5-embed html5-embed-youtube" aria-label="Embeded YouTube video" src="https://www.youtube-nocookie.com/embed/MwRbr-MjwII" referrerpolicy="strict-origin-when-cross-origin" allow="fullscreen"&gt;&lt;/iframe&gt;&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Aleksejus Kononovicius</dc:creator><pubDate>Tue, 23 Jun 2026 08:00:00 +0300</pubDate><guid>tag:rf.mokslasplius.lt,2026-06-23:/road-trip-inspired-by-calendar/</guid><category>2026</category><category>video</category></item><item><title>Beta prime distribution from Gamma-distributed random values</title><link>https://rf.mokslasplius.lt/beta-prime-distribution-from-gamma-distributed-random-values/</link><description>&lt;p&gt;As we have already
&lt;a href="https://rf.mokslasplius.lt/beta-prime-distribution/"&gt;discussed&lt;/a&gt;, beta prime
distribution arises from a nonlinear transformation of the voter model.
Furthermore, recently we have been relying a lot on the said transformation
&lt;span class="article-cite-items"&gt;[&lt;a class="article-cite-item" href="#Kazakevicius2021AnoVM" title="R. Kazakevicius, A. Kononovicius. Anomalous diffusion in nonlinear transformations of the noisy voter model. Physical Review E 103: 032154 (2021). doi: 10.1103/PhysRevE.103.032154. arXiv:2011.02927 [cond-mat.stat-mech]."&gt;1&lt;/a&gt;, &lt;a class="article-cite-item" href="#Kazakevicius2023PRE" title="R. Kazakevičius, A. Kononovicius. Anomalous diffusion and long-range memory in the scaled voter model. Physical Review E 107: 024106 (2023). doi: 10.1103/PhysRevE.107.024106. arXiv:2301.08088 [cond-mat.stat-mech]."&gt;2&lt;/a&gt;, &lt;a class="article-cite-item" href="#Kazakevicius2026CSF" title="R. Kazakevicius, A. Kononovicius. Mean first passage time of the symmetric noisy voter model with arbitrary initial and boundary conditions. Chaos, Solitons and Fractals 203: 117649 (2026). doi: 10.1016/j.chaos.2025.117649. arXiv:2512.02519 [cond-mat.stat-mech]."&gt;3&lt;/a&gt;]&lt;/span&gt;.
In those papers, we have been using some results derived for the &lt;a href="/tag/cir-process/"&gt;CIR
process&lt;/a&gt; as well. Thus, another interesting thing, which
my colleague &lt;a href="/tag/r-kazakevicius/"&gt;Rytis Kazakevičius&lt;/a&gt; has noted, was that
the beta prime distribution can be obtained from the ratio of two
independent Gamma-distributed random values. Why it is interesting? The
stationary distribution of the &lt;a href="/tag/cir-process/"&gt;CIR process&lt;/a&gt; is the Gamma
distribution!&lt;/p&gt;
</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Aleksejus Kononovicius</dc:creator><pubDate>Tue, 16 Jun 2026 08:00:00 +0300</pubDate><guid>tag:rf.mokslasplius.lt,2026-06-16:/beta-prime-distribution-from-gamma-distributed-random-values/</guid><category>2026</category><category>interactive</category><category>statistics</category><category>power-law distributions</category><category>voter model</category><category>Kirman model</category><category>CIR process</category><category>R. Kazakevicius</category></item><item><title>Beta prime distribution</title><link>https://rf.mokslasplius.lt/beta-prime-distribution/</link><description>&lt;p&gt;Have you heard of the beta prime distribution before? Until recently, I
hadn't either. My colleague, &lt;a href="/tag/r-kazakevicius/"&gt;Rytis Kazakevičius&lt;/a&gt;,
recently surprised me by pointing out that the distribution we have been
repeatedly encountering in nonlinear transformations of the noisy &lt;a href="/tag/voter-model/"&gt;voter
model&lt;/a&gt; has actually a proper name. It is known as the
beta prime distribution. And our history with this distribution, goes back
much further.&lt;/p&gt;
</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Aleksejus Kononovicius</dc:creator><pubDate>Tue, 02 Jun 2026 08:00:00 +0300</pubDate><guid>tag:rf.mokslasplius.lt,2026-06-02:/beta-prime-distribution/</guid><category>2026</category><category>interactive</category><category>statistics</category><category>power-law distributions</category><category>voter model</category><category>Kirman model</category><category>R. Kazakevicius</category></item><item><title>MinutePhysics: Problem with Newcomb's paradox</title><link>https://rf.mokslasplius.lt/minutephysics-problem-with-newcombs-paradox/</link><description>&lt;p&gt;Recently, &lt;a href="https://www.youtube.com/@veritasium"&gt;Veritasium&lt;/a&gt; has posted a
video on Newcomb's &lt;a href="/tag/paradox/"&gt;paradox&lt;/a&gt;. This &lt;a href="/tag/paradox/"&gt;paradox&lt;/a&gt;
is based on a decision-making problem. Namely, you are presented with two
boxes. Box A is transparent and contains a small amount of money, while Box
B is opaque. Box B might contain a large amount of money or be empty. Its
contents are decided ahead of time by a machine, which has perfect
prediction record. If the machine predicts that you will take only Box B, it
will put large amount of money inside it. Otherwise, it will keep Box B
empty. So, will you take only Box B (and believe in predictor accuracy) or
will you take both boxes (and believe in &lt;a href="/tag/game-theory/"&gt;game theory&lt;/a&gt;)?
For more details on the paradox and its solutions watch the video below.&lt;/p&gt;
&lt;div class="embed-responsive embed-responsive-16by9"&gt;&lt;iframe class="embed-responsive-item html5-embed html5-embed-youtube" aria-label="Embeded YouTube video" src="https://www.youtube-nocookie.com/embed/Ol18JoeXlVI" referrerpolicy="strict-origin-when-cross-origin" allow="fullscreen"&gt;&lt;/iframe&gt;&lt;/div&gt;
&lt;p&gt;After watching the video above I wasn't particularly fond of the
&lt;a href="/tag/paradox/"&gt;paradox&lt;/a&gt;. Mostly because the &lt;a href="/tag/paradox/"&gt;paradox&lt;/a&gt; seemed
to be artificially contrived. After watching &lt;a href="https://www.youtube.com/@MinutePhysics"&gt;minute
physics&lt;/a&gt; (previously known as One
Minute Physics) video I still feel the same way, but surprisingly this
&lt;a href="/tag/paradox/"&gt;paradox&lt;/a&gt; prompts us to consider the nature of our own
reality. I encourage you to watch it as well.&lt;/p&gt;
&lt;div class="embed-responsive embed-responsive-16by9"&gt;&lt;iframe class="embed-responsive-item html5-embed html5-embed-youtube" aria-label="Embeded YouTube video" src="https://www.youtube-nocookie.com/embed/8wDha-G35KA" referrerpolicy="strict-origin-when-cross-origin" allow="fullscreen"&gt;&lt;/iframe&gt;&lt;/div&gt;
&lt;p&gt;I especially liked the part about random 5 year old falsely achieving
incredible accuracy.&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Aleksejus Kononovicius</dc:creator><pubDate>Tue, 19 May 2026 08:00:00 +0300</pubDate><guid>tag:rf.mokslasplius.lt,2026-05-19:/minutephysics-problem-with-newcombs-paradox/</guid><category>2026</category><category>video</category><category>Veritasium</category><category>game theory</category><category>paradox</category><category>One Minute Physics</category></item><item><title>The defining property of stable distributions</title><link>https://rf.mokslasplius.lt/the-defining-property-of-stable-distributions/</link><description>&lt;p&gt;Our group, along with a few &lt;a href="/tag/students/"&gt;students&lt;/a&gt;, has been reading
&lt;a href="/tag/statistics/"&gt;statistics&lt;/a&gt; handbook and refreshing our understanding of
the basic statistics. I was given to cover a chapter about the &lt;a href="/tag/central-limit-theorem/"&gt;central
limit theorem&lt;/a&gt;, which reminded me that I had
already given a similar presentation while being PhD student myself. While
diving into the topic, I have noticed a couple things, which are usually
glanced over in a typical statistics handbook. In the final post of &lt;a href="/tag/topic-stable-distributions/"&gt;this
series&lt;/a&gt;, let me put an emphasis on the
defining property of any &lt;a href="/tag/stable-distribution/"&gt;stable distribution&lt;/a&gt;.&lt;/p&gt;
</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Aleksejus Kononovicius</dc:creator><pubDate>Tue, 12 May 2026 08:00:00 +0300</pubDate><guid>tag:rf.mokslasplius.lt,2026-05-12:/the-defining-property-of-stable-distributions/</guid><category>2026</category><category>interactive</category><category>statistics</category><category>power-law distributions</category><category>stable distributions</category><category>students</category><category>topic: stable distributions</category></item><item><title>Summation of infinitely divisible random variates</title><link>https://rf.mokslasplius.lt/summation-of-infinitely-divisible-random-variates/</link><description>&lt;p&gt;Our group, along with a few &lt;a href="/tag/students/"&gt;students&lt;/a&gt;, has been reading
&lt;a href="/tag/statistics/"&gt;statistics&lt;/a&gt; handbook and refreshing our understanding of
the basic statistics. Some time ago, I was given to cover a chapter about
the &lt;a href="/tag/central-limit-theorem/"&gt;central limit theorem&lt;/a&gt;, which reminded me
that I had already given a similar presentation while being PhD student
myself. While diving into the topic, I have noticed a couple things, which
are usually glanced over in a typical statistics handbook. Let me share them
with you.&lt;/p&gt;
&lt;p&gt;This time we explore &lt;a href="/tag/infinite-divisibility/"&gt;infinite divisibility&lt;/a&gt;.
Our previous mathematical explorations of the &lt;a href="/tag/stable-distributions/"&gt;stable
distributions&lt;/a&gt; topic have relied on this
property, because it simplifies many of the analytical derivations. But
there are distributions, which are &lt;a href="/tag/infinite-divisibility/"&gt;infinitely
divisible&lt;/a&gt; but not stable. This time let us
take a look at sums of Gamma distributed random variates.&lt;/p&gt;
</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Aleksejus Kononovicius</dc:creator><pubDate>Tue, 28 Apr 2026 08:00:00 +0300</pubDate><guid>tag:rf.mokslasplius.lt,2026-04-28:/summation-of-infinitely-divisible-random-variates/</guid><category>2026</category><category>interactive</category><category>statistics</category><category>gamma distribution</category><category>infinite divisibility</category><category>stable distributions</category><category>students</category><category>topic: stable distributions</category></item><item><title>A. Chadha: Cauchy 101</title><link>https://rf.mokslasplius.lt/a-chadha-cauchy-101/</link><description>&lt;p&gt;Over the last few posts we have taken a look at the &lt;a href="https://rf.mokslasplius.lt/cauchy-distribution/"&gt;Cauchy
distribution&lt;/a&gt;, which
apparently has undefined mean and variance. You will find a useful review
and some novel personal insights from an enthusiastic student &lt;a href="https://www.youtube.com/@AnanyaChadha"&gt;Ananya
Chadha&lt;/a&gt; in the video below.&lt;/p&gt;
&lt;div class="embed-responsive embed-responsive-16by9"&gt;&lt;iframe class="embed-responsive-item html5-embed html5-embed-youtube" aria-label="Embeded YouTube video" src="https://www.youtube-nocookie.com/embed/1UeAuE6Yxq8" referrerpolicy="strict-origin-when-cross-origin" allow="fullscreen"&gt;&lt;/iframe&gt;&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Aleksejus Kononovicius</dc:creator><pubDate>Tue, 21 Apr 2026 08:00:00 +0300</pubDate><guid>tag:rf.mokslasplius.lt,2026-04-21:/a-chadha-cauchy-101/</guid><category>2026</category><category>video</category><category>statistics</category><category>central limit theorem</category><category>power-law distributions</category><category>stable distributions</category><category>A. Chadha</category><category>topic: stable distributions</category></item><item><title>MSCA hosting invitation (2026)</title><link>https://rf.mokslasplius.lt/msca-hosting-invitation-2026/</link><description>&lt;div class="figure"&gt;&lt;img alt="promotional image generated using Microsoft Copilot based on the keywords
of the MSCA hosting
invitation" src="https://rf.mokslasplius.lt/uploads/2026/msca-hosting-invitation-2026.jpg"/&gt;&lt;/div&gt;
&lt;p&gt;If you are interested in &lt;a href="/tag/complex-systems/"&gt;complex systems&lt;/a&gt;, physical
modeling of &lt;a href="/tag/opinion-dynamics/"&gt;opinion dynamics&lt;/a&gt; or &lt;a href="/tag/financial-markets/"&gt;financial
markets&lt;/a&gt;, then you might be interested in my
invitation to host MSCA postdoctoral fellows.&lt;/p&gt;
&lt;p&gt;&lt;a href="https://euraxess.ec.europa.eu/jobs/hosting/msca-postdoctoral-fellowships-vu-faculty-physics-institute-theoretical-physics-and-0"&gt;More information on the Euraxess website »&lt;/a&gt;&lt;/p&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Aleksejus Kononovicius</dc:creator><pubDate>Thu, 16 Apr 2026 08:00:00 +0300</pubDate><guid>tag:rf.mokslasplius.lt,2026-04-16:/msca-hosting-invitation-2026/</guid><category>2026</category><category>general</category><category>opinion dynamics</category><category>financial markets</category><category>complex systems</category></item></channel></rss>