M. Stolte

collaborators

7 papers

hep-ex2026

Observation of the Exotic State $I ¨ _{1} (1600)$ in $I ¨ (2 S) \to I^^{3} I ¨ _{c 1}, I ¨ _{c 1} \to I ¨ ^{+} I ¨ ^{-} I^\cdot^{'}$

BESIII Collaboration, M. Ablikim, M. N. Achasov +750

A partial wave analysis of the process $I ¨ (2 S) \to I^^{3} I ¨ _{c 1}, I ¨ _{c 1} \to I ¨ ^{+} I ¨ ^{-} I^\cdot^{'}$ is performed using $(2712.4 \pm 14.3) \times 1 0^{6}$ $I ¨ (2 S)$ events collecte…

hep-ex2026

First Observation of \boldmath{ $D^{+} \to a_{0} (980) I ¨ $ and $D^{+} \to a_{0} (980)^{+} f_{0} (500)$ } in \boldmath{ $D^{+} \to I ¨ ^{+} I ¨ ^{+} I ¨ ^{-} I^\cdot$ and $D^{+} \to I ¨ ^{+} I ¨ ^{0} I ¨ ^{0} I^\cdot$ } Decays

BESIII Collaboration, M. Ablikim, M. N. Achasov +756

We perform the first amplitude analysis of the singly Cabibbo-suppressed decays $D^{+} \to I ¨ ^{+} I ¨ ^{+ (0)} I ¨ ^{- (0)} I^\cdot$ , using $e^{+} e^{-}$ collision data collected with the BESIII detec…

stat.ME2026

An Empirical Comparison of Methods for Quantifying the Similarity of Numeric Datasets

Marieke Stolte, JÃ¶rg RahnenfÃ¼hrer, Andrea Bommert

Methods for quantifying the similarity of datasets are relevant in applications where two or more datasets, or their underlying distributions, need to be compared, ranging from two…

stat.ME2026

An Empirical Comparison of Methods for Quantifying the Similarity of Categorical Datasets

Marieke Stolte, JÃ¶rg RahnenfÃ¼hrer, Andrea Bommert

Quantifying the similarity of two or more datasets has widespread applications in statistics and machine learning. The method choice is, however, difficult due to the abundance of…

hep-ex2026

Measurement of the branching fractions of $I ¨ _{c J} \to I ¨ ^{+} I ¨ ^{-} I ¨ ^{0} I ¨ ^{0}$ via $I ¨ (3686) \to I^^{3} I ¨ _{c J}$

BESIII Collaboration, M. Ablikim, M. N. Achasov +762

Using $(2712.4 \pm 14.3) \times 1 0^{6}$ $I ¨ (3686)$ events collected with the BESIII detector operating at BEPCII, the branching fractions of $I ¨ _{c J} \to I ¨ ^{+} I ¨ ^{-} I ¨ ^{0} I ¨ ^{0}$ ( $J = 0, 1, 2$ ) a…

stat.ME2025

Methods for Quantifying Dataset Similarity: a Review, Taxonomy and Comparison

Marieke Stolte, Franziska Kappenberg, JÃ¶rg RahnenfÃ¼hrer +1

Quantifying the similarity between datasets has widespread applications in statistics and machine learning. The performance of a predictive model on novel datasets, referred to as…

Observation of the Exotic State I¨1​(1600) in I¨(2S)→I^3I¨c1​,I¨c1​→I¨+I¨−I^⋅′

First Observation of \boldmath{D+→a0​(980)I¨ and D+→a0​(980)+f0​(500)} in \boldmath{D+→I¨+I¨+I¨−I^⋅ and D+→I¨+I¨0I¨0I^⋅} Decays

An Empirical Comparison of Methods for Quantifying the Similarity of Numeric Datasets

An Empirical Comparison of Methods for Quantifying the Similarity of Categorical Datasets

Measurement of the branching fractions of I¨cJ​→I¨+I¨−I¨0I¨0 via I¨(3686)→I^3I¨cJ​

Methods for Quantifying Dataset Similarity: a Review, Taxonomy and Comparison

Observation of the Exotic State $I ¨ _{1} (1600)$ in $I ¨ (2 S) \to I^^{3} I ¨ _{c 1}, I ¨ _{c 1} \to I ¨ ^{+} I ¨ ^{-} I^\cdot^{'}$

First Observation of \boldmath{ $D^{+} \to a_{0} (980) I ¨ $ and $D^{+} \to a_{0} (980)^{+} f_{0} (500)$ } in \boldmath{ $D^{+} \to I ¨ ^{+} I ¨ ^{+} I ¨ ^{-} I^\cdot$ and $D^{+} \to I ¨ ^{+} I ¨ ^{0} I ¨ ^{0} I^\cdot$ } Decays

Measurement of the branching fractions of $I ¨ _{c J} \to I ¨ ^{+} I ¨ ^{-} I ¨ ^{0} I ¨ ^{0}$ via $I ¨ (3686) \to I^^{3} I ¨ _{c J}$