Philippe Robert
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Research Interests
Philippe Robert has a total of 86 co-authors. Here are the top co-authors by number of shared publications:
- Fabrice Guillemin
Orange Labs, Lannion, France
16 shared publications - Christine Fricker
INRIA
11 shared publications - Gaëtan Vignoud
Supported by PhD grant of École Normale Supérieure ENS
9 shared publications Christine Fricker
INRIA
5 shared publications- Florian Simatos
INRIA Paris-Rocquencourt
5 shared publications - James Roberts
INRIA France
5 shared publications
Latest Publications
- 27 December 2025
- Published by Elsevier in Stochastic Processes and their Applications
- Vol. 194
Scaling methods for stochastic chemical reaction networks
- 27 December 2025
- Published by Elsevier in Stochastic Processes and their Applications
- Vol. 194
Scaling methods for stochastic chemical reaction networks
- Open Access
Stochastic Models of Resource Allocation in Chemical Reaction Networks
This paper analyses of a stochastic model of a chemical reaction network with three types of chemical species ${\cal R}$, ${\cal M}$ and ${\cal U}$ that interact to transform a flow of external resources, the chemical species ${\cal Q}$, to produce a product, the chemical species ${\cal P}_r$. A regulation mechanism involving the sequestration of the chemical species ${\cal R}$ when the flow of resources is too low is investigated. The original motivation of the study is of analyzing the qualitative properties of a key regulation mechanism of gene expression in biological cells, the {\em stringent response}. A scaling analysis of a Markov process in $\N^5$ representing the state of the chemical reaction network is achieved. It is shown that, depending on the parameters of the model, there are, quite surprisingly, three possible asymptotic regimes. To each of them corresponds a stochastic averaging principle with a fast process expressed in terms of a network of $M/M/\infty$ queues. One of these regimes, the optimal sequestration regime, does not seem to have been identified up to now. Under this regime, the input flow of resources is low but the state of the network is still acceptable in terms of unused macro-molecules, showing the remarkable efficiency of this regulation mechanism. The technical proofs of the main convergence results rely on a combination of coupling arguments, technical estimates of the solutions of SDEs, of sample paths of fast processes in particular, and the stability properties of some dynamical systems in $\R^2$.Open AccessStochastic Models of Resource Allocation in Chemical Reaction Networks
This paper analyses of a stochastic model of a chemical reaction network with three types of chemical species ${\cal R}$, ${\cal M}$ and ${\cal U}$ that interact to transform a flow of external resources, the chemical species ${\cal Q}$, to produce a product, the chemical species ${\cal P}_r$. A regulation mechanism involving the sequestration of the chemical species ${\cal R}$ when the flow of resources is too low is investigated. The original motivation of the study is of analyzing the qualitative properties of a key regulation mechanism of gene expression in biological cells, the {\em stringent response}. A scaling analysis of a Markov process in $\N^5$ representing the state of the chemical reaction network is achieved. It is shown that, depending on the parameters of the model, there are, quite surprisingly, three possible asymptotic regimes. To each of them corresponds a stochastic averaging principle with a fast process expressed in terms of a network of $M/M/\infty$ queues. One of these regimes, the optimal sequestration regime, does not seem to have been identified up to now. Under this regime, the input flow of resources is low but the state of the network is still acceptable in terms of unused macro-molecules, showing the remarkable efficiency of this regulation mechanism. The technical proofs of the main convergence results rely on a combination of coupling arguments, technical estimates of the solutions of SDEs, of sample paths of fast processes in particular, and the stability properties of some dynamical systems in $\R^2$. - 5 April 2025
- Published by Elsevier in Stochastic Processes and their Applications
- Vol. 186
Stochastic chemical reaction networks with discontinuous limits and AIMD processes
- 5 April 2025
- Published by Elsevier in Stochastic Processes and their Applications
- Vol. 186
Stochastic chemical reaction networks with discontinuous limits and AIMD processes
- 10 March 2025
- Published by Springer Nature in Journal of Statistical Physics
- Vol. 192 (3) , 1-31
Analysis of Stochastic Chemical Reaction Networks with a Hierarchy of Timescales
- 10 March 2025
- Published by Springer Nature in Journal of Statistical Physics
- Vol. 192 (3) , 1-31
Analysis of Stochastic Chemical Reaction Networks with a Hierarchy of Timescales
- 3 September 2024
- Published by Elsevier in Stochastic Processes and their Applications
- Vol. 178
A stochastic analysis of particle systems with pairing
- 3 September 2024
- Published by Elsevier in Stochastic Processes and their Applications
- Vol. 178
A stochastic analysis of particle systems with pairing
- Open Access
Analysis of Stochastic Chemical Reaction Networks with a Hierarchy of Timescales
We investigate a class of stochastic chemical reaction networks with $n{\ge}1$ chemical species $S_1$, \ldots, $S_n$, and whose complexes are only of the form $k_iS_i$, $i{=}1$,\ldots, $n$, where $(k_i)$ are integers. The time evolution of these CRNs is driven by the kinetics of the law of mass action. A scaling analysis is done when the rates of external arrivals of chemical species are proportional to a large scaling parameter $N$. A natural hierarchy of fast processes, a subset of the coordinates of $(X_i(t))$, is determined by the values of the mapping $i{\mapsto}k_i$. We show that the scaled vector of coordinates $i$ such that $k_i{=}1$ and the scaled occupation measure of the other coordinates are converging in distribution to a deterministic limit as $N$ gets large. The proof of this result is obtained by establishing a functional equation for the limiting points of the occupation measure, by an induction on the hierarchy of timescales and with relative entropy functions.Open AccessAnalysis of Stochastic Chemical Reaction Networks with a Hierarchy of Timescales
We investigate a class of stochastic chemical reaction networks with $n{\ge}1$ chemical species $S_1$, \ldots, $S_n$, and whose complexes are only of the form $k_iS_i$, $i{=}1$,\ldots, $n$, where $(k_i)$ are integers. The time evolution of these CRNs is driven by the kinetics of the law of mass action. A scaling analysis is done when the rates of external arrivals of chemical species are proportional to a large scaling parameter $N$. A natural hierarchy of fast processes, a subset of the coordinates of $(X_i(t))$, is determined by the values of the mapping $i{\mapsto}k_i$. We show that the scaled vector of coordinates $i$ such that $k_i{=}1$ and the scaled occupation measure of the other coordinates are converging in distribution to a deterministic limit as $N$ gets large. The proof of this result is obtained by establishing a functional equation for the limiting points of the occupation measure, by an induction on the hierarchy of timescales and with relative entropy functions. - Open Access
- 1 January 2024
- Published by Institute of Mathematical Statistics in Electronic Journal of Probability
- Vol. 29 (none) , 1-37
A Palm space approach to non-linear Hawkes processes
A Hawkes process on R is a point process whose intensity function at time t is a functional of its past activity before time t. It is defined by its activation function Φ and its memory function h. In this paper, the Hawkes property is expressed as an operator on the sub-space of non-negative sequences associated to distances between its points. By using the classical correspondence between a stationary point process and its Palm measure, we establish a characterization of the corresponding Palm measure as an invariant distribution of a Markovian kernel. We prove that if Φ is continuous and its growth rate is at most linear with a rate below some constant, then there exists a stationary Hawkes point process. The classical Lipschitz condition of the literature for an unbounded function Φ is relaxed. Our proofs rely on a combination of coupling methods, monotonicity properties of linear Hawkes processes and classical results on Palm distributions. An investigation of the Hawkes process starting from the null measure, the empty state, on R− plays also an important role. The linear case of Hawkes and Oakes is revisited at this occasion. If the memory function h is an exponential function, under a weak condition it is shown that there exists a unique stationary Hawkes point process. In this case, its Palm measure is expressed in terms of the invariant distribution of a one-dimensional Harris ergodic Markov chain. When the activation function is a polynomial Φ with degree >1, there does not exist a stationary Hawkes process and if the Hawkes process starts from the empty state, a scaling result for the accumulation of its points is obtained.
- 1 January 2024
- Published by Institute of Mathematical Statistics in Electronic Journal of Probability
- Vol. 29 (none) , 1-37
Open AccessA Palm space approach to non-linear Hawkes processes
A Hawkes process on R is a point process whose intensity function at time t is a functional of its past activity before time t. It is defined by its activation function Φ and its memory function h. In this paper, the Hawkes property is expressed as an operator on the sub-space of non-negative sequences associated to distances between its points. By using the classical correspondence between a stationary point process and its Palm measure, we establish a characterization of the corresponding Palm measure as an invariant distribution of a Markovian kernel. We prove that if Φ is continuous and its growth rate is at most linear with a rate below some constant, then there exists a stationary Hawkes point process. The classical Lipschitz condition of the literature for an unbounded function Φ is relaxed. Our proofs rely on a combination of coupling methods, monotonicity properties of linear Hawkes processes and classical results on Palm distributions. An investigation of the Hawkes process starting from the null measure, the empty state, on R− plays also an important role. The linear case of Hawkes and Oakes is revisited at this occasion. If the memory function h is an exponential function, under a weak condition it is shown that there exists a unique stationary Hawkes point process. In this case, its Palm measure is expressed in terms of the invariant distribution of a one-dimensional Harris ergodic Markov chain. When the activation function is a polynomial Φ with degree >1, there does not exist a stationary Hawkes process and if the Hawkes process starts from the empty state, a scaling result for the accumulation of its points is obtained.
- Open Access
- 25 December 2023
- Published by Wiley in Alzheimer's & Dementia
- Vol. 19 (S19)
Computerized serious game‐based cognitive training combined with tDCS for apathy treatment in Mild Neurocognitive Disorders
Background: Apathy is a clinical syndrome, associated with numerous adverse outcomes, which is pervasive in neurocognitive disorders. Neural bases of apathy rest on dysfunctions of brain structures involved in initiation, execution and control of goal directed behavior, and notably implicate dysfunction of cognitive functions which are required to generate plan of actions. Cognitive training has shown efficacious effects in mild cognitive disorders, and non‐invasive brain stimulation seems to be a promising intervention for cognition and neuropsychiatric symptoms, as suggested by the benefit effects found on depression. The aim of this study is to assess the effectiveness of repeated sessions of computerized serious game‐based cognitive training combined with transcranial direct current stimulation (tDCS) on apathy among older adults with neurocognitive disorders.Method: The study is an ongoing double‐blind randomized controlled trial. Patients are randomized into a 4‐week intervention of computerized “MeMo” serious game‐based cognitive training combined with either sham or active tDCS. The 4‐week intervention comprise 3 sessions per week, with 20 minutes of cognitive training plus simultaneously sham or active tDCS targeting the left dorsolateral prefrontal cortex with a 2mA of current intensity. The main outcome was the apathy, assessed using the Apathy Diagnostic Criteria, the Apathy Inventory and the self‐reported Apathy Motivation Index questionnaire. Secondary outcomes are cognitive performances, fatigue and daily motor activity.Result: Preliminary results of the ongoing study will be presented during the AAIC.Conclusion: These results will provide new evidence about the interest to use combined cognitive training and tDCS as neurorehabilitation intervention, for cognition and apathy treatment in mild neurocognitive disorders.
- 25 December 2023
- Published by Wiley in Alzheimer's & Dementia
- Vol. 19 (S19)
Open AccessComputerized serious game‐based cognitive training combined with tDCS for apathy treatment in Mild Neurocognitive Disorders
Background: Apathy is a clinical syndrome, associated with numerous adverse outcomes, which is pervasive in neurocognitive disorders. Neural bases of apathy rest on dysfunctions of brain structures involved in initiation, execution and control of goal directed behavior, and notably implicate dysfunction of cognitive functions which are required to generate plan of actions. Cognitive training has shown efficacious effects in mild cognitive disorders, and non‐invasive brain stimulation seems to be a promising intervention for cognition and neuropsychiatric symptoms, as suggested by the benefit effects found on depression. The aim of this study is to assess the effectiveness of repeated sessions of computerized serious game‐based cognitive training combined with transcranial direct current stimulation (tDCS) on apathy among older adults with neurocognitive disorders.Method: The study is an ongoing double‐blind randomized controlled trial. Patients are randomized into a 4‐week intervention of computerized “MeMo” serious game‐based cognitive training combined with either sham or active tDCS. The 4‐week intervention comprise 3 sessions per week, with 20 minutes of cognitive training plus simultaneously sham or active tDCS targeting the left dorsolateral prefrontal cortex with a 2mA of current intensity. The main outcome was the apathy, assessed using the Apathy Diagnostic Criteria, the Apathy Inventory and the self‐reported Apathy Motivation Index questionnaire. Secondary outcomes are cognitive performances, fatigue and daily motor activity.Result: Preliminary results of the ongoing study will be presented during the AAIC.Conclusion: These results will provide new evidence about the interest to use combined cognitive training and tDCS as neurorehabilitation intervention, for cognition and apathy treatment in mild neurocognitive disorders.
- Open Access
- 25 December 2023
- Published by Wiley in Alzheimer's & Dementia
- Vol. 19 (S18)
Assessing posttraumatic stress disorder with patients suffering from neurocognitive disorder: development of the PTSD with NCD Inventory (PNI)
Background: PTSD and NCD have common symptoms such as mood disorders (depressive symptoms, aggressivity, etc.) or cognitive disorders (executive dysfunctionning, amnesia, etc.). Due to these similarities, and because existing tools are not suitable for this population specificities, PTSD diagnosis may be difficult. Based on the existing literature, a new screening tool was created, allowing a hetero assessment of PTSD for this population. This study consists in explaining the development and the pre‐testing of our new tool, following specific scale development guidelines.Method: A research was conducted to analyze the inventory construct which allowed us to analyze over 50 tools and create our items. An expert panel assessed the first version, which was used in a protocol conducted with 44 participants suffering from NCD.Result: First, the tool was modified consequently to the expert panel’s review, for a total of 15 domains with 4 at 8 items. Cronbach’s alpha and Pearson’s correlation enlightened good reliability when tested with the 44 participants (inventory’s Cronbach’s alpha = 0.75). By the end of the pilot testing, 13 domains composed of 70 items were kept.Conclusion: The different validation steps lead to the creation of a new hetero‐assessing tool with specific PTSD items and suitable to a population with NCD. Domains will gauge both the symptoms frequency and impact. According to literature, this tool will focus on DSM‐5 criteria A, B and E. The next step will be to analyze the PTSD with NCD Inventory’s psychometric properties.
- 25 December 2023
- Published by Wiley in Alzheimer's & Dementia
- Vol. 19 (S18)
Open AccessAssessing posttraumatic stress disorder with patients suffering from neurocognitive disorder: development of the PTSD with NCD Inventory (PNI)
Background: PTSD and NCD have common symptoms such as mood disorders (depressive symptoms, aggressivity, etc.) or cognitive disorders (executive dysfunctionning, amnesia, etc.). Due to these similarities, and because existing tools are not suitable for this population specificities, PTSD diagnosis may be difficult. Based on the existing literature, a new screening tool was created, allowing a hetero assessment of PTSD for this population. This study consists in explaining the development and the pre‐testing of our new tool, following specific scale development guidelines.Method: A research was conducted to analyze the inventory construct which allowed us to analyze over 50 tools and create our items. An expert panel assessed the first version, which was used in a protocol conducted with 44 participants suffering from NCD.Result: First, the tool was modified consequently to the expert panel’s review, for a total of 15 domains with 4 at 8 items. Cronbach’s alpha and Pearson’s correlation enlightened good reliability when tested with the 44 participants (inventory’s Cronbach’s alpha = 0.75). By the end of the pilot testing, 13 domains composed of 70 items were kept.Conclusion: The different validation steps lead to the creation of a new hetero‐assessing tool with specific PTSD items and suitable to a population with NCD. Domains will gauge both the symptoms frequency and impact. According to literature, this tool will focus on DSM‐5 criteria A, B and E. The next step will be to analyze the PTSD with NCD Inventory’s psychometric properties.
- Open Access
A Palm Space Approach to Non-Linear Hawkes Processes
A Hawkes process on $\R$ is a point process whose intensity function at time $t$ is a functional of its past activity before time $t$. It is defined by its activation function $\Phi$ and its memory function $h$. In this paper, the Hawkes property is expressed as an operator on the sub-space of non-negative sequences associated to distances between its points. By using the classical correspondence between a stationary point process and its Palm measure, we establish a characterization of the corresponding Palm measure as an invariant distribution of a Markovian kernel. We prove that if $\Phi$ is continuous and its growth rate is at most linear with a rate below some constant, then there exists a stationary Hawkes point process. The classical Lipschitz condition of the literature for an unbounded function $\Phi$ is relaxed. Our proofs rely on a combination of coupling methods, monotonicity properties of linear Hawkes processes and classical results on Palm distributions. An investigation of the Hawkes process starting from the null measure, the empty state, on $\R_-$ plays also an important role. The linear case of Hawkes and Oakes is revisited at this occasion. If the memory function $h$ is an exponential function, under a weak condition it is shown that there exists a unique stationary Hawkes point process. In this case, its Palm measure is expressed in terms of the invariant distribution of a one-dimensional Harris ergodic Markov chain. When the activation function is a polynomial $\Phi$ with degree ${>}1$, there does not exist a stationary Hawkes process and if the Hawkes process starts from the empty state, a scaling result for the accumulation of its points is obtained.Open AccessA Palm Space Approach to Non-Linear Hawkes Processes
A Hawkes process on $\R$ is a point process whose intensity function at time $t$ is a functional of its past activity before time $t$. It is defined by its activation function $\Phi$ and its memory function $h$. In this paper, the Hawkes property is expressed as an operator on the sub-space of non-negative sequences associated to distances between its points. By using the classical correspondence between a stationary point process and its Palm measure, we establish a characterization of the corresponding Palm measure as an invariant distribution of a Markovian kernel. We prove that if $\Phi$ is continuous and its growth rate is at most linear with a rate below some constant, then there exists a stationary Hawkes point process. The classical Lipschitz condition of the literature for an unbounded function $\Phi$ is relaxed. Our proofs rely on a combination of coupling methods, monotonicity properties of linear Hawkes processes and classical results on Palm distributions. An investigation of the Hawkes process starting from the null measure, the empty state, on $\R_-$ plays also an important role. The linear case of Hawkes and Oakes is revisited at this occasion. If the memory function $h$ is an exponential function, under a weak condition it is shown that there exists a unique stationary Hawkes point process. In this case, its Palm measure is expressed in terms of the invariant distribution of a one-dimensional Harris ergodic Markov chain. When the activation function is a polynomial $\Phi$ with degree ${>}1$, there does not exist a stationary Hawkes process and if the Hawkes process starts from the empty state, a scaling result for the accumulation of its points is obtained.