<b>Distributions.jl</b>: Definition and Modeling of Probability Distributions in the JuliaStats Ecosystem

Besançon, Mathieu; Papamarkou, Theodore; Anthoff, David; Arslan, Alex; Byrne, Simon; Lin, Dahua; Pearson, John

doi:10.18637/jss.v098.i16

Cited by 48 publications

(40 citation statements)

References 28 publications

(23 reference statements)

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“…6 Used packages in alphabetical order: Agents.jl for agent-based modelling and simulation (Datseris et al, 2021), Colors.jl for coloring of visualisations, CSV.jl for handling delimited files (Quinn et al, 2021), DataFrames.jl for data processing (White et al, 2021), Distributions.jl for probability distributions (Besançon et al, 2021), Latexify.jl for L A T E X-formatting of tables, Makie.jl for visualisations (Danisch et al, 2021), and Pipe.jl for chaining of operations.…”

Section: Simulations and Resultsmentioning

confidence: 99%

The effects of incentives, social norms, and employees' values on work performance

Roos,

Reale,

Banning

2021

Preprint

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This agent-based model contributes to a theory of corporate culture in which company performance and employees' behaviour result from the interaction between financial incentives, motivational factors and endogenous social norms. Employees' personal values are the main drivers of behaviour. They shape agents' decisions about how much of their working time to devote to individual tasks, cooperative, and shirking activities. The model incorporates two aspects of the management style, analysed both in isolation and combination: (i) monitoring efforts affecting intrinsic motivation, i.e. the firm is either trusting or controlling, and (ii) remuneration schemes affecting extrinsic motivation, i.e. individual or group rewards. The simulations show that financial incentives can (i) lead to inefficient levels of cooperation, and (ii) reinforce value-driven behaviours, amplified by emergent social norms. The company achieves the highest output with a flat wage and a trusting management. Employees that value self-direction highly are pivotal, since they are strongly (de-)motivated by the management style.

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Section: Simulations and Resultsmentioning

confidence: 99%

The effects of incentives, social norms, and employees' values on work performance

Roos,

Reale,

Banning

2021

Preprint

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“…NoisySignalIntegration.jl includes a detailed documentation that covers the typical workflow with several examples. The API uses custom datatypes and convenience functions to aid the data analysis and permits flexible customizations: Any probability distribution from Distributions.jl (Besançon et al, 2021;Lin et al, 2019) is a valid input to express uncertainty in integration bounds, thus allowing to adapt the uncertainty analysis as needed to ones state of knowledge. The core integration function can be swapped if the included trapezoidal integration is deemed unsatisfactory in terms of accuracy.…”

Section: Discussionmentioning

confidence: 99%

NoisySignalIntegration.jl: A Julia package for uncertainty evaluation of numeric integrals

Lüttschwager¹

2021

JOSS

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“…In the case of signals that promote nearby cells to commit to the opposite lineage, we can follow the same principles to define a signal: These definitions of signaling also allow for multiple cells to signal a single cell at similar times, while still having A 2 well defined. We implemented this model in Julia ( Bezanson et al, 2017 ), where we used the DifferentialEquations.jl ( Rackauckas and Nie, 2017 ) and Distributions.jl ( Besançon et al, 2021 ) packages for numerical simulation.…”

Section: Methodsmentioning

confidence: 99%

A single-cell resolved cell-cell communication model explains lineage commitment in hematopoiesis

Rommelfanger

MacLean

2021

Development

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Cells do not make fate decisions independently. Arguably, every cell-fate decision occurs in response to environmental signals. In many cases, cell-cell communication alters the dynamics of the internal gene regulatory network of a cell to initiate cell-fate transitions, yet models rarely take this into account. Here, we have developed a multiscale perspective to study the granulocyte-monocyte versus megakaryocyte-erythrocyte fate decisions. This transition is dictated by the GATA1-PU.1 network: a classical example of a bistable cell-fate system. We show that, for a wide range of cell communication topologies, even subtle changes in signaling can have pronounced effects on cell-fate decisions. We go on to show how cell-cell coupling through signaling can spontaneously break the symmetry of a homogenous cell population. Noise, both intrinsic and extrinsic, shapes the decision landscape profoundly, and affects the transcriptional dynamics underlying this important hematopoietic cell-fate decision-making system. This article has an associated ‘The people behind the papers’ interview.

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Distributions.jl: Definition and Modeling of Probability Distributions in the JuliaStats Ecosystem

Cited by 48 publications

References 28 publications

The effects of incentives, social norms, and employees' values on work performance

The effects of incentives, social norms, and employees' values on work performance

NoisySignalIntegration.jl: A Julia package for uncertainty evaluation of numeric integrals

A single-cell resolved cell-cell communication model explains lineage commitment in hematopoiesis

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