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<feed xmlns="http://www.w3.org/2005/Atom"><title>EntryLib: recently published</title><id>https://entrylib.org/feed.xml</id><link rel="self" href="https://entrylib.org/feed.xml"/><link href="https://entrylib.org/"/><updated>2026-11-11T00:00:00Z</updated><entry><title>What MuseScore users ask for: unmet needs around arranging and parts</title><id>https://entrylib.org/p/2026.000004@v1</id><link href="https://entrylib.org/p/2026.000004@v1"/><updated>2026-11-11T00:00:00Z</updated><author><name>Ivan Svetunkov</name></author><summary>Requests in the arranging and instrumentation theme make up less than 10% of MuseScore feature requests: the share of issues in theme was 0.0459 on the held-out set.</summary></entry><entry><title>The observed-data likelihood of ADAM and iETS with unobserved periods</title><id>https://entrylib.org/p/2026.000003@v2</id><link href="https://entrylib.org/p/2026.000003@v2"/><updated>2026-11-11T00:00:00Z</updated><author><name>Ivan Svetunkov</name></author><summary>For a model of intermittent demand $y_t=o_tz_t$ with Bernoulli occurrence $o_t\sim\text{Bernoulli}(p_t)$ independent of a positive continuous size $z_t$, the observed-data likelihood is $$\sum_{O_t=1}\log f(z_t\mid Y_{t-1};\theta) + \sum_{O_t=1}\log p_t + \sum_{O_t=0}\log(1-p_t),$$ in which the unobserved sizes do not appear and the size and occurrence parts separate.</summary></entry><entry><title>Admissibility of lagged state space models through the ARIMA form of the whole model</title><id>https://entrylib.org/p/2026.000002@v3</id><link href="https://entrylib.org/p/2026.000002@v3"/><updated>2026-11-10T00:00:00Z</updated><author><name>Ivan Svetunkov</name></author><summary>On 500 random additive ETS and GUM models, the admissibility decision from the roots of the MA polynomial after cyclotomic cancellation differed from the PBH reference on 0 models, and on the 172 models that both found inadmissible the largest mode modulus differed from the reference by at most 4.4e-13.</summary></entry><entry><title>Calibration of the prediction intervals of AutoMSARIMA in smooth on M1, M3, Tourism and M4</title><id>https://entrylib.org/p/2026.000001@v3</id><link href="https://entrylib.org/p/2026.000001@v3"/><updated>2026-11-10T00:00:00Z</updated><author><name>Ivan Svetunkov</name></author><summary>With the true orders and true parameters, the MSARIMA analytic interval is calibrated over the 99 quantiles in the known-model simulation at $T$ of 100 and 300: MCE lies between 0.0007 and 0.0024 and the ratio of the interval width to the theoretical width between 0.9965 and 1.0019, with backcasting and with optimal initial states.</summary></entry></feed>
