dsl-papers

Group testing by nested pools

<p><em> IEEE Transactions on Information Systems</em></p>

<article class="align-center media media--type-link media--view-mode-default"><div class="field field--name-field-media-entity-link field--type-link field--label-hidden field__item"><a href="https://doi.org/10.1109/TIT.2021.3123929" target="_blank">68(2),pp. 1119-1132</a></div>
      
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An integrated local depth measure

<p><em>AStA Advances in Statistical Analysis</em></p>

<article class="align-center media media--type-link media--view-mode-default"><div class="field field--name-field-media-entity-link field--type-link field--label-hidden field__item"><a href="https://doi.org/10.1007/s10182-021-00424-6" target="_blank"> 175–197</a></div>
      
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2-an integrated local depth measure (1).jpg

A self-organized criticality participative pricing mechanism for selling zero-marginal cost products

<p><em>Chaos, Solitons &amp; Fractals</em></p>

<article class="align-center media media--type-link media--view-mode-default"><div class="field field--name-field-media-entity-link field--type-link field--label-hidden field__item"><a href="https://doi.org/10.1016/j.chaos.2022.112028" target="_blank">158, pp. 112028</a></div>
      
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24-a self-organized criticality.jpg

Nested pool testing strategy for the diagnosis of infectious diseases

<p>Scientific Reports</p>

<article class="align-center media media--type-link media--view-mode-default"><div class="field field--name-field-media-entity-link field--type-link field--label-hidden field__item"><a href="https://www.nature.com/articles/s41598-021-97534-7" target="_blank">11,  18108.</a></div>
      
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Task-specific signatures in the expert brain: Differential correlates of translation and reading in professional interpreter.

<p><em>Neuroimage</em></p>

<article class="align-center media media--type-link media--view-mode-default"><div class="field field--name-field-media-entity-link field--type-link field--label-hidden field__item"><a href="https://doi.org/10.1016/j.neuroimage.2020.116519" target="_blank">209, pp. 116519</a></div>
      
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A variable Selection Procedure for Depth Measures. AStA Advances in Statistical Analysis

<p><em>AStA Advances in Statistical Analysis</em></p>

<article class="align-center media media--type-link media--view-mode-default"><div class="field field--name-field-media-entity-link field--type-link field--label-hidden field__item"><a href="https://link.springer.com/article/10.1007/s10182-021-00391-y" target="_blank">105(2), pp. 247–271</a></div>
      
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25- variable selection procedure.jpg

A multidimensional approach to measuring the middle class. Journal of Economic Inequality

<p><span><span><span><span><span><span><span>Journal of Economic Inequality</span></span></span></span></span></span></span></p>

<article class="align-center media media--type-link media--view-mode-default"><div class="field field--name-field-media-entity-link field--type-link field--label-hidden field__item"><a href="https://link.springer.com/article/10.1007/s10888-020-09464-5" target="_blank">19(1), pp. 139–162</a></div>
      
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26-a multidimensional approach.jpg

A divisive clustering method for functional data with special consideration of outliers

<p>Advances in Data Analysis and Classification</p>

<article class="align-center media media--type-link media--view-mode-default"><div class="field field--name-field-media-entity-link field--type-link field--label-hidden field__item"><a href="https://link.springer.com/article/10.1007/s11634-017-0290-1" target="_blank">12(3), pp. 637–656</a></div>
      
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1-a divisive.jpg

Bak-Sneppen model: Local equilibrium and critical values

<p><span><span><span><span><span><span><span>Physical Review</span></span></span></span></span></span></span></p>

<article class="align-center media media--type-link media--view-mode-default"><div class="field field--name-field-media-entity-link field--type-link field--label-hidden field__item"><a href="https://journals.aps.org/pre/abstract/10.1103/PhysRevE.97.042123" target="_blank">pp. 42123</a></div>
      
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4-bak-sneppen model.jpg

An ANOVA approach for statistical comparisons of brain networks

<p>Scientific Reports</p>

<article class="align-center media media--type-link media--view-mode-default"><div class="field field--name-field-media-entity-link field--type-link field--label-hidden field__item"><a href="https://www.nature.com/articles/s41598-018-23152-5" target="_blank">8, pp. 4746.</a></div>
      
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