Bayessche Schätzverfahren berücksichtigen A-priori
Bayesian estimation methods consider a priori
Literalmente: Bayesian estimation-procedures consider a-priori
Use this phrase in academic or technical settings to describe incorporating prior knowledge into data analysis.
En 15 segundos
- Statistical methods that use prior knowledge to improve current estimates.
- Highly academic phrase used in data science and research contexts.
- Combines existing assumptions with new data for better accuracy.
Significado
This phrase describes a statistical approach where you don't just look at new data, but also include what you already knew or assumed beforehand (the 'a priori' part). It's like making a smart guess based on both current evidence and past experience.
Ejemplos clave
3 de 6Presenting a research paper
Unsere Bayessche Schätzverfahren berücksichtigen A-priori-Verteilungen, um die Genauigkeit zu erhöhen.
Our Bayesian estimation methods consider a priori distributions to increase accuracy.
In a high-level business meeting about AI
Da wir wenig Daten haben, sollten unsere Bayessche Schätzverfahren das A-priori der Experten nutzen.
Since we have little data, our Bayesian estimation methods should use the experts' a priori.
Explaining a logic error to a colleague
Dein Modell scheitert, weil Bayessche Schätzverfahren das A-priori hier zwingend berücksichtigen müssen.
Your model is failing because Bayesian estimation methods absolutely must consider the a priori here.
Contexto cultural
This expression is a hallmark of German academic and technical discourse, emphasizing the value of 'Vorwissen' (prior knowledge). It highlights the German preference for structured, theoretical frameworks over purely trial-and-error approaches. The use of Latin 'A-priori' signals a high level of education and fits into the formal 'Bildungssprache' (educational language) used in universities.
The Hyphen Matters
In German, `A-priori` is usually written with a hyphen when used as a noun or part of a compound. It looks more professional!
Don't Overuse It
If you use this phrase outside of science or tech, you might sound 'überkandidelt' (pretentious). Save it for the right crowd.
En 15 segundos
- Statistical methods that use prior knowledge to improve current estimates.
- Highly academic phrase used in data science and research contexts.
- Combines existing assumptions with new data for better accuracy.
What It Means
Imagine you are a detective. You find a wet umbrella. A normal person thinks: 'It is raining.' But you remember it is summer in a desert. You use your prior knowledge to guess someone just washed their car. That is exactly what Bayessche Schätzverfahren berücksichtigen A-priori means. In the world of math and data, it means we don't start from zero. We take our old beliefs and update them with new facts. It is the opposite of 'blind' statistics. You are being a smart, context-aware researcher.
How To Use It
You will mostly use this in very smart circles. Think of university seminars or high-level tech meetings. To use it, you usually describe a process. You might say, 'Our model is accurate because Bayessche Schätzverfahren berücksichtigen A-priori.' It sounds very professional. It shows you understand that data doesn't exist in a vacuum. You can also use it to defend a decision. If someone asks why you used old data, this is your shield. It turns 'I had a hunch' into 'I used a Bayesian approach.'
When To Use It
Use this when you are at a tech conference in Berlin. It is perfect for a Master’s thesis defense. Use it when discussing Artificial Intelligence or Machine Learning. If you are at a business meeting and want to sound like the smartest person in the room, drop this phrase. It works well when you need to justify using 'expert opinions' in a calculation. It is a very 'C1 level' way to talk about logic. Even if you aren't a mathematician, knowing this phrase makes you look like a culture expert.
When NOT To Use It
Do not use this at a bar while drinking a Feierabendbier. Your friends will think you have lost your mind. Do not use it to explain why you forgot to buy milk. 'My A-priori suggested the fridge was full' will not save you from a grumpy partner. It is way too heavy for casual texting. If you use it with a child, they will just blink at you. Avoid it in any situation where 'common sense' is a better term. It is a scalpel, not a hammer.
Cultural Background
Germany is the land of engineers and philosophers. We love systems that are logically sound. This phrase reflects that love for 'Gründlichkeit' (thoroughness). Thomas Bayes was British, but German academia adopted his theories with passion. In German culture, showing that you have 'Vorwissen' (prior knowledge) is respected. It shows you are prepared. Using the Latin term A-priori adds a layer of traditional academic prestige. It connects modern data science to centuries of philosophical thought.
Common Variations
You might hear Bayessche Statistik for the general field. Some people say Vorwissen einbeziehen if they want to be less formal. You might also hear A-posteriori, which is the result after you've looked at the data. If someone is being fancy, they might talk about the Bayessche Wahrscheinlichkeitstheorie. But the phrase about Schätzverfahren is the most common way to describe the actual calculation method in a professional setting.
Notas de uso
This is a highly specialized academic expression. Use it only in contexts involving data science, mathematics, or formal logic. Using it elsewhere will likely cause confusion or make you seem overly academic.
The Hyphen Matters
In German, `A-priori` is usually written with a hyphen when used as a noun or part of a compound. It looks more professional!
Don't Overuse It
If you use this phrase outside of science or tech, you might sound 'überkandidelt' (pretentious). Save it for the right crowd.
The 'Bayer' Confusion
Fun fact: `Bayessche` has nothing to do with the state of Bavaria (`Bayern`). It comes from the name Bayes. Don't expect a pretzel!
Ejemplos
6Unsere Bayessche Schätzverfahren berücksichtigen A-priori-Verteilungen, um die Genauigkeit zu erhöhen.
Our Bayesian estimation methods consider a priori distributions to increase accuracy.
This is the textbook way to use the phrase in a formal presentation.
Da wir wenig Daten haben, sollten unsere Bayessche Schätzverfahren das A-priori der Experten nutzen.
Since we have little data, our Bayesian estimation methods should use the experts' a priori.
Here, it's used to justify using human expertise in a computer model.
Dein Modell scheitert, weil Bayessche Schätzverfahren das A-priori hier zwingend berücksichtigen müssen.
Your model is failing because Bayesian estimation methods absolutely must consider the a priori here.
A slightly corrective but professional tone among peers.
Ich habe mein Bayessches Schätzverfahren aktualisiert: Mein A-priori sagt, die Mensa hat wieder nur Nudeln.
I've updated my Bayesian estimation method: My a-priori says the cafeteria only has pasta again.
Using a very complex phrase for a very mundane observation.
Lern unbedingt, wie Bayessche Schätzverfahren A-priori-Werte einbinden!
Make sure to learn how Bayesian estimation methods incorporate a priori values!
Informal context but discussing a formal subject.
Es ist frustrierend, dass diese Bayessche Schätzverfahren das A-priori so stark gewichten.
It's frustrating that these Bayesian estimation methods weight the a priori so heavily.
Expressing a technical frustration using precise language.
Ponte a prueba
Fill in the missing word to complete the technical term.
In der Statistik können Bayessche ___ das A-priori einbeziehen.
Schätzverfahren (estimation methods) is the correct technical term used in this context.
Choose the correct Latin term used in this expression.
Bayessche Schätzverfahren berücksichtigen ___.
A-priori refers to the knowledge or assumptions held before the data is analyzed.
🎉 Puntuación: /2
Ayudas visuales
Formality Spectrum of 'Bayessche Schätzverfahren'
Talking to friends about a guess.
Ich hab's gewusst.
General discussion about logic.
Wir nutzen Vorwissen.
Professional data analysis.
Bayessche Statistik wird angewandt.
Scientific publication or thesis.
Bayessche Schätzverfahren berücksichtigen A-priori.
Where to use Bayesian Terminology
University Lab
Discussing research methodology.
AI Startup
Explaining an algorithm to investors.
Math Exam
Answering a question on probability.
Tech Conference
Giving a keynote on data trends.
Preguntas frecuentes
12 preguntasIt refers to the information or assumptions you have *before* you see the current data. In German, we often call this Vorwissen.
It is a German adjective derived from the English name Thomas Bayes. We add the -sche ending to names to make them adjectives, like Gaußsche Kurve.
Not really. It's very technical. You'd sound like you're reading from a textbook if you said it at dinner.
It's pronounced roughly like 'BEYS-shuh'. The 'sche' sounds like the 'sh' in 'ship' followed by a short 'uh'.
The opposite is often 'frequentist' statistics, which in German is frequentistische Statistik. Those methods don't use A-priori knowledge.
Yes, very! Many AI and machine learning algorithms are based on these Schätzverfahren.
Yes, when used as a noun in German, it is capitalized: das A-priori.
It can be both! In this phrase, it is usually plural, referring to the category of methods.
Yes, Bayes-Methoden is a bit shorter and slightly less formal, but still very professional.
Because it requires specific technical vocabulary and the ability to discuss abstract mathematical concepts in German.
Forgetting the 'e' at the end of Bayessche. Since it describes Verfahren (plural), the adjective needs the 'e' ending.
No, there is no slang version of this. It remains strictly in the realm of Fachsprache (technical language).
Frases relacionadas
Wahrscheinlichkeitsrechnung
Probability calculus
Empirische Daten
Empirical data
Statistische Signifikanz
Statistical significance
Induktive Statistik
Inferential statistics
Comentarios (0)
Inicia Sesión para ComentarEmpieza a aprender idiomas gratis
Empieza Gratis